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anhnv125

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ud_alpaca

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As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цмок пранёсься над імі, нібы хуткасны цягнік, кульнуўся над ракой, ды з аглушальным грукатам выбухнуў над Прырэччам.

Position Tokenization UPOS Head Deprel 1 Цмок NOUN 2 nsubj 2 пранёсься VERB 0 root 3 над ADP 4 case 4 імі PRON 2 obl 5 , PUNCT 8 punct 6 нібы CCONJ 8 case 7 хуткасны ADJ 8 amod 8 цягнік NOUN 2 obl 9 , PUNCT 10 punct 10 кульнуўся VERB 2 conj 11 над ADP 12 case 12 ракой NOUN 10 obl 13 , PUNCT 18 punct 14 ды CCONJ 18 cc 15 з ADP 17 case 16 аглушальным ADJ 17 amod 17 грукатам NOUN 18 obl 18 выбухнуў VERB 2 conj 19 над ADP 20 case 20 Прырэччам PROPN 18 obl 21 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ён плыў па Мускуснай затоцы, якая вяла яго да галоўнага возера і галоўнай з яго хацін і была адным з асноўных участкаў яго палявання.

Position Tokenization UPOS Head Deprel 1 Ён PRON 2 nsubj 2 плыў VERB 0 root 3 па ADP 5 case 4 Мускуснай PROPN 5 amod 5 затоцы NOUN 2 obl 6 , PUNCT 8 punct 7 якая PRON 8 nsubj 8 вяла VERB 5 acl:relcl 9 яго PRON 8 obj 10 да ADP 12 case 11 галоўнага ADJ 12 amod 12 возера NOUN 8 obl 13 і CCONJ 14 cc 14 галоўнай ADJ 12 conj 15 з ADP 17 case 16 яго DET 17 det 17 хацін NOUN 14 nmod 18 і CCONJ 20 cc 19 была AUX 20 cop 20 адным NUM 8 conj 21 з ADP 23 case 22 асноўных ADJ 23 amod 23 участкаў NOUN 20 nmod 24 яго DET 25 det 25 палявання NOUN 23 nmod 26 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэта быў штучны вадаём, пакручасты і зарослы, утвораны старой бабровай запрудай, якая так надзейна перагарадзіла ручай, што атрымалася азярцо з крутымі, густа зарослымі лесам берагамі.

Position Tokenization UPOS Head Deprel 1 Гэта PRON 4 nsubj 2 быў AUX 4 cop 3 штучны ADJ 4 amod 4 вадаём NOUN 0 root 5 , PUNCT 6 punct 6 пакручасты ADJ 4 amod 7 і CCONJ 8 cc 8 зарослы VERB 6 conj 9 , PUNCT 10 punct 10 утвораны VERB 4 acl 11 старой ADJ 13 amod 12 бабровай ADJ 13 amod 13 запрудай NOUN 10 obl:agent 14 , PUNCT 18 punct 15 якая PRON 18 nsubj 16 так PART 17 advmod 17 надзейна ADV 18 advmod 18 перагарадзіла VERB 13 acl:relcl 19 ручай NOUN 18 obj 20 , PUNCT 22 punct 21 што SCONJ 22 mark 22 атрымалася VERB 18 advcl 23 азярцо NOUN 22 nsubj 24 з ADP 30 case 25 крутымі ADJ 30 amod 26 , PUNCT 28 punct 27 густа ADV 28 advmod 28 зарослымі VERB 30 amod 29 лесам NOUN 28 iobj 30 берагамі NOUN 23 nmod 31 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ідэальнае месца для мускуснага пацука — андатры.

Position Tokenization UPOS Head Deprel 1 Ідэальнае ADJ 2 amod 2 месца NOUN 0 root 3 для ADP 5 case 4 мускуснага ADJ 5 amod 5 пацука NOUN 2 nmod 6 — PUNCT 7 punct 7 андатры NOUN 5 appos 8 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Не надта глыбока, дно і берагі густа ўкрытыя асакой, рагозам, стрэлкалістам і чаротам і дуплістымі карчамі — важная ўмова для андатры.

Position Tokenization UPOS Head Deprel 1 Не PART 2 advmod 2 надта ADV 3 advmod 3 глыбока ADV 0 root 4 , PUNCT 9 punct 5 дно NOUN 9 nsubj 6 і CCONJ 7 cc 7 берагі NOUN 5 conj 8 густа ADV 9 advmod 9 ўкрытыя ADJ 3 parataxis 10 асакой NOUN 9 iobj 11 , PUNCT 12 punct 12 рагозам NOUN 10 conj 13 , PUNCT 14 punct 14 стрэлкалістам NOUN 10 conj 15 і CCONJ 16 cc 16 чаротам NOUN 10 conj 17 і CCONJ 19 cc 18 дуплістымі ADJ 19 amod 19 карчамі NOUN 10 conj 20 — PUNCT 22 punct 21 важная ADJ 22 amod 22 ўмова NOUN 9 parataxis 23 для ADP 24 case 24 андатры NOUN 22 nmod 25 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: На шэра-карычневай паверхні вады скрозь вытыркаліся травяністыя, злепленыя з гразі і галінак астраўкі.

Position Tokenization UPOS Head Deprel 1 На ADP 3 case 2 шэра-карычневай ADJ 3 amod 3 паверхні NOUN 6 obl 4 вады NOUN 3 nmod 5 скрозь ADV 6 advmod 6 вытыркаліся VERB 0 root 7 травяністыя ADJ 14 amod 8 , PUNCT 9 punct 9 злепленыя VERB 14 amod 10 з ADP 11 case 11 гразі NOUN 9 nmod 12 і CCONJ 13 cc 13 галінак NOUN 11 conj 14 астраўкі NOUN 6 nsubj 15 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: На большых былі норы андатры, на меншых яны спакойна харчаваліся, будучы ў бяспецы ад сваіх ворагаў.

Position Tokenization UPOS Head Deprel 1 На ADP 2 case 2 большых ADJ 3 obl 3 былі VERB 0 root 4 норы NOUN 2 nsubj 5 андатры NOUN 4 nmod 6 , PUNCT 11 punct 7 на ADP 8 case 8 меншых ADJ 11 obl 9 яны PRON 11 nsubj 10 спакойна ADV 11 advmod 11 харчаваліся VERB 2 conj 12 , PUNCT 15 punct 13 будучы AUX 15 cop 14 ў ADP 15 case 15 бяспецы NOUN 11 advcl 16 ад ADP 18 case 17 сваіх DET 18 det 18 ворагаў NOUN 15 nmod 19 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Рой скіраваў човен да аднаго з такіх астраўкоў.

Position Tokenization UPOS Head Deprel 1 Рой PROPN 2 nsubj 2 скіраваў VERB 0 root 3 човен NOUN 2 obj 4 да ADP 5 case 5 аднаго NUM 2 obl 6 з ADP 8 case 7 такіх DET 8 det 8 астраўкоў NOUN 5 nmod 9 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Некаторымі з іх ён карыстаўся як прыкрыццём, прынаджваючы качак, і зараз, калі човен выйшаў на адкрытую ваду, з іх узнялася хмара чыркоў, крохаляў, чырвонагаловых і чарнакрылых дзікіх качак і свістух.

Position Tokenization UPOS Head Deprel 1 Некаторымі DET 5 obj 2 з ADP 3 case 3 іх PRON 1 nmod 4 ён PRON 5 nsubj 5 карыстаўся VERB 0 root 6 як SCONJ 7 case 7 прыкрыццём NOUN 5 obl 8 , PUNCT 9 punct 9 прынаджваючы VERB 5 advcl 10 качак NOUN 9 obj 11 , PUNCT 24 punct 12 і CCONJ 24 cc 13 зараз ADV 24 advmod 14 , PUNCT 17 punct 15 калі SCONJ 17 mark 16 човен NOUN 17 nsubj 17 выйшаў VERB 24 advcl 18 на ADP 20 case 19 адкрытую ADJ 20 amod 20 ваду NOUN 17 obl 21 , PUNCT 17 punct 22 з ADP 23 case 23 іх PRON 24 obl 24 узнялася VERB 5 conj 25 хмара NOUN 24 nsubj 26 чыркоў NOUN 25 nmod 27 , PUNCT 28 punct 28 крохаляў NOUN 26 conj 29 , PUNCT 30 punct 30 чырвонагаловых ADJ 34 amod 31 і CCONJ 32 cc 32 чарнакрылых ADJ 30 conj 33 дзікіх ADJ 34 amod 34 качак NOUN 26 conj 35 і CCONJ 36 cc 36 свістух NOUN 26 conj 37 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яны ўзняліся невялікімі шумнымі купкамі і зніклі.

Position Tokenization UPOS Head Deprel 1 Яны PRON 2 nsubj 2 ўзняліся VERB 0 root 3 невялікімі ADJ 5 amod 4 шумнымі ADJ 5 amod 5 купкамі NOUN 2 obl 6 і CCONJ 7 cc 7 зніклі VERB 2 conj 8 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэта толькі цяпер, мілы мой хлопчык, у Слана ёсць хобат.

Position Tokenization UPOS Head Deprel 1 Гэта PART 3 expl 2 толькі PART 3 advmod 3 цяпер ADV 11 advmod 4 , PUNCT 7 punct 5 мілы ADJ 7 amod 6 мой DET 7 det 7 хлопчык NOUN 3 vocative 8 , PUNCT 7 punct 9 у ADP 10 case 10 Слана NOUN 11 obl 11 ёсць VERB 0 root 12 хобат NOUN 11 nsubj 13 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: А раней, даўным-даўно, ніякага хобата не было ў Слана.

Position Tokenization UPOS Head Deprel 1 А CCONJ 9 cc 2 раней ADV 9 advmod 3 , PUNCT 4 punct 4 даўным-даўно ADV 9 advmod 5 , PUNCT 4 punct 6 ніякага DET 7 det 7 хобата NOUN 9 nsubj 8 не PART 9 advmod 9 было VERB 0 root 10 ў ADP 11 case 11 Слана NOUN 9 obl 12 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Быў толькі нос, падобны на аладку, чорненькі, велічынёю з чаравік.

Position Tokenization UPOS Head Deprel 1 Быў VERB 0 root 2 толькі PART 3 advmod 3 нос NOUN 1 nsubj 4 , PUNCT 5 punct 5 падобны ADJ 3 acl 6 на ADP 7 case 7 аладку NOUN 5 obl 8 , PUNCT 9 punct 9 чорненькі ADJ 3 amod 10 , PUNCT 11 punct 11 велічынёю NOUN 3 nmod 12 з ADP 13 case 13 чаравік NOUN 11 nmod 14 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэты нос матляўся ва ўсе бакі, але ўсё ж быў нікуды не варты: хіба можна такім носам падняць што-небудзь з зямлі?

Position Tokenization UPOS Head Deprel 1 Гэты DET 2 det 2 нос NOUN 3 nsubj 3 матляўся VERB 0 root 4 ва ADP 6 case 5 ўсе DET 6 det 6 бакі NOUN 3 obl 7 , PUNCT 14 punct 8 але CCONJ 14 mark 9 ўсё ADV 14 advmod 10 ж PART 9 fixed 11 быў AUX 14 cop 12 нікуды ADV 13 advmod 13 не PART 14 advmod 14 варты ADJ 3 conj 15 : PUNCT 17 punct 16 хіба PART 17 advmod 17 можна VERB 14 parataxis 18 такім DET 19 det 19 носам NOUN 20 iobj 20 падняць VERB 17 xcomp 21 што-небудзь PRON 20 obj 22 з ADP 23 case 23 зямлі NOUN 20 obl 24 ? PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Але вось у той самы час, даўным-даўно, жыў адзін такі Слон, або, лепш сказаць, Слонік, які быў страшэнна дапытлівы, і каго, бывала, ні ўбачыць, да ўсіх прыстае з роспытамі.

Position Tokenization UPOS Head Deprel 1 Але CCONJ 10 cc 2 вось PART 6 advmod 3 у ADP 6 case 4 той DET 6 det 5 самы ADJ 6 amod 6 час NOUN 10 obl 7 , PUNCT 8 punct 8 даўным-даўно ADV 10 advmod 9 , PUNCT 8 punct 10 жыў VERB 0 root 11 адзін DET 12 det 12 такі DET 13 det 13 Слон NOUN 10 nsubj 14 , PUNCT 20 punct 15 або CCONJ 20 cc 16 , PUNCT 17 punct 17 лепш ADV 20 parataxis 18 сказаць VERB 17 csubj 19 , PUNCT 17 punct 20 Слонік NOUN 13 conj 21 , PUNCT 25 punct 22 які PRON 25 nsubj 23 быў AUX 25 cop 24 страшэнна ADV 25 advmod 25 дапытлівы ADJ 20 acl:relcl 26 , PUNCT 37 punct 27 і CCONJ 37 cc 28 каго PRON 33 obj 29 , PUNCT 30 punct 30 бывала VERB 33 discourse 31 , PUNCT 30 punct 32 ні PART 33 amod 33 ўбачыць VERB 36 acl 34 , PUNCT 33 punct 35 да ADP 36 case 36 ўсіх PRON 37 obl 37 прыстае VERB 25 conj 38 з ADP 39 case 39 роспытамі NOUN 37 obl 40 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Жыў ён у Афрыцы, і да ўсёй Афрыкі прыставаў ён з роспытамі.

Position Tokenization UPOS Head Deprel 1 Жыў VERB 0 root 2 ён PRON 1 nsubj 3 у ADP 4 case 4 Афрыцы PROPN 1 obl 5 , PUNCT 10 punct 6 і CCONJ 10 cc 7 да ADP 9 case 8 ўсёй DET 9 det 9 Афрыкі PROPN 10 obl 10 прыставаў VERB 1 conj 11 ён PRON 10 nsubj 12 з ADP 13 case 13 роспытамі NOUN 10 obl 14 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ён прыставаў да Страўсіхі, сваёй даўгавязай цёткі, і пытаўся, чаму ў яе на хвасце пёры растуць так, а не гэтак, і даўгавязая цётка Страўсіха давала яму за гэта грымака сваёй цвёрдай, як камень, нагой.

Position Tokenization UPOS Head Deprel 1 Ён PRON 2 nsubj 2 прыставаў VERB 0 root 3 да ADP 4 case 4 Страўсіхі NOUN 2 obl 5 , PUNCT 8 punct 6 сваёй DET 8 det 7 даўгавязай ADJ 8 amod 8 цёткі NOUN 4 appos 9 , PUNCT 8 punct 10 і CCONJ 11 cc 11 пытаўся VERB 2 conj 12 , PUNCT 19 punct 13 чаму ADV 19 advmod 14 ў ADP 15 case 15 яе PRON 19 obl 16 на ADP 17 case 17 хвасце NOUN 19 obl 18 пёры NOUN 19 nsubj 19 растуць VERB 11 ccomp 20 так ADV 19 advmod 21 , PUNCT 24 punct 22 а CCONJ 24 cc 23 не PART 24 advmod 24 гэтак ADV 20 conj 25 , PUNCT 30 punct 26 і CCONJ 30 cc 27 даўгавязая ADJ 28 amod 28 цётка NOUN 30 nsubj 29 Страўсіха NOUN 28 appos 30 давала VERB 2 conj 31 яму PRON 30 iobj 32 за ADP 33 case 33 гэта PART 30 expl 34 грымака NOUN 30 obj 35 сваёй DET 41 det 36 цвёрдай ADJ 41 amod 37 , PUNCT 39 punct 38 як SCONJ 39 case 39 камень NOUN 36 obl 40 , PUNCT 39 punct 41 нагой NOUN 30 iobj 42 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ён прыставаў да свайго даўганогага дзядзькі Жырафа і пытаўся, чаму ў яго на скуры плямы, і высачэзны дзядзька Жыраф даваў яму за гэта грымака сваім цвёрдым, як камень, капытом.

Position Tokenization UPOS Head Deprel 1 Ён PRON 2 nsubj 2 прыставаў VERB 0 root 3 да ADP 6 case 4 свайго DET 6 det 5 даўганогага ADJ 6 amod 6 дзядзькі NOUN 2 obl 7 Жырафа NOUN 6 appos 8 і CCONJ 9 cc 9 пытаўся VERB 2 conj 10 , PUNCT 15 punct 11 чаму ADV 15 advcl 12 ў ADP 13 case 13 яго PRON 15 obl 14 на ADP 15 case 15 скуры NOUN 9 ccomp 16 плямы NOUN 15 nsubj 17 , PUNCT 22 punct 18 і CCONJ 22 cc 19 высачэзны ADJ 20 amod 20 дзядзька NOUN 22 nsubj 21 Жыраф NOUN 20 appos 22 даваў VERB 2 conj 23 яму PRON 22 iobj 24 за ADP 25 case 25 гэта PRON 22 obl 26 грымака NOUN 22 obj 27 сваім DET 33 det 28 цвёрдым ADJ 33 amod 29 , PUNCT 31 punct 30 як SCONJ 31 case 31 камень NOUN 28 conj 32 , PUNCT 31 punct 33 капытом NOUN 22 iobj 34 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Але і гэта не стрымлівала яго дапытлівасці.

Position Tokenization UPOS Head Deprel 1 Але CCONJ 5 cc 2 і PART 5 cc 3 гэта PART 5 expl 4 не PART 5 advmod 5 стрымлівала VERB 0 root 6 яго DET 7 det 7 дапытлівасці NOUN 5 obj 8 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: А праўду сказаў Бурачок у сваёй «Дудцы», што ўсе мы завём нашу мову «мужыцкай», і так — нічагусенька, як бы так і трэба!

Position Tokenization UPOS Head Deprel 1 А CCONJ 3 cc 2 праўду NOUN 3 obj 3 сказаў VERB 0 root 4 Бурачок PROPN 3 nsubj 5 у ADP 8 case 6 сваёй DET 8 det 7 « PUNCT 8 punct 8 Дудцы NOUN 3 obl 9 » PUNCT 8 punct 10 , PUNCT 14 punct 11 што SCONJ 14 mark 12 ўсе DET 13 det 13 мы PRON 14 nsubj 14 завём VERB 3 advcl 15 нашу DET 16 det 16 мову NOUN 14 obj 17 « PUNCT 18 punct 18 мужыцкай ADJ 14 xcomp 19 » PUNCT 18 punct 20 , PUNCT 24 punct 21 і CCONJ 24 cc 22 так ADV 24 advmod 23 — PUNCT 22 punct 24 нічагусенька NOUN 14 conj 25 , PUNCT 30 punct 26 як SCONJ 30 advmod 27 бы PART 26 fixed 28 так ADV 30 advmod 29 і PART 30 advmod 30 трэба VERB 24 conj 31 ! PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Здарывалася і мне чытаць і ксёнжачкі, хоць не надта старыя, друкаваныя навет, якогась пана Марцінкевіча, але ўсе як бы смеючыся з нашага брата пісаны; чытаў я і так перапісаныя вершыкі якогасьці Юркі «Панскае ігрышча», гдзе Юрка надта дзівуецца і як бы завідуе панам тым, каторыя, можа, і больш ад Юркі таго працуюць, толькі, ведама, вучоныя, дык лягчэй і спарней.

Position Tokenization UPOS Head Deprel 1 Здарывалася VERB 0 root 2 і PART 3 advmod 3 мне PRON 1 iobj 4 чытаць VERB 1 csubj 5 і PART 6 advmod 6 ксёнжачкі NOUN 4 obj 7 , PUNCT 11 punct 8 хоць SCONJ 11 mark 9 не PART 10 advmod 10 надта ADV 11 advmod 11 старыя ADJ 6 amod 12 , PUNCT 13 punct 13 друкаваныя VERB 11 conj 14 навет PART 13 advmod 15 , PUNCT 13 punct 16 якогась DET 17 det 17 пана NOUN 6 nmod 18 Марцінкевіча PROPN 17 appos 19 , PUNCT 28 punct 20 але CCONJ 28 cc 21 ўсе DET 28 nsubj:pass 22 як SCONJ 24 mark 23 бы PART 22 fixed 24 смеючыся VERB 28 advcl 25 з ADP 27 case 26 нашага DET 27 det 27 брата NOUN 28 obl 28 пісаны VERB 1 conj 29 ; PUNCT 30 punct 30 чытаў VERB 1 conj 31 я PRON 30 nsubj 32 і PART 34 advmod 33 так ADV 34 advmod 34 перапісаныя VERB 35 amod 35 вершыкі NOUN 30 obj 36 якогасьці DET 37 det 37 Юркі PROPN 35 nmod 38 « PUNCT 40 punct 39 Панскае ADJ 40 amod 40 ігрышча NOUN 35 appos 41 » PUNCT 40 punct 42 , PUNCT 46 punct 43 гдзе ADV 46 advmod 44 Юрка NOUN 46 nsubj 45 надта ADV 46 advmod 46 дзівуецца VERB 35 acl:relcl 47 і CCONJ 50 cc 48 як SCONJ 50 advmod 49 бы PART 48 fixed 50 завідуе VERB 46 conj 51 панам NOUN 50 iobj 52 тым DET 51 det 53 , PUNCT 63 punct 54 каторыя PRON 63 nsubj 55 , PUNCT 56 punct 56 можа VERB 63 parataxis 57 , PUNCT 56 punct 58 і PART 59 advmod 59 больш ADV 63 advmod 60 ад ADP 61 case 61 Юркі PROPN 59 obl 62 таго DET 61 det 63 працуюць VERB 51 acl:relcl 64 , PUNCT 69 punct 65 толькі SCONJ 69 mark 66 , PUNCT 67 punct 67 ведама ADJ 69 parataxis 68 , PUNCT 67 punct 69 вучоныя NOUN 63 conj 70 , PUNCT 72 punct 71 дык PART 72 advmod 72 лягчэй ADJ 69 conj 73 і CCONJ 74 cc 74 спарней ADV 72 conj 75 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Я перапісаў і сюды тое «Ігрышча», няхай выбачае пан Юрка, але, дальбог, аж злосць узяла, што Юрка спадабаў тое, што толькі блазну можа спадабацца.

Position Tokenization UPOS Head Deprel 1 Я PRON 2 nsubj 2 перапісаў VERB 0 root 3 і PART 4 advmod 4 сюды ADV 2 advmod 5 тое DET 7 det 6 « PUNCT 7 punct 7 Ігрышча PROPN 2 obj 8 » PUNCT 7 punct 9 , PUNCT 11 punct 10 няхай PART 11 advmod 11 выбачае VERB 2 conj 12 пан NOUN 11 nsubj 13 Юрка PROPN 12 appos 14 , PUNCT 21 punct 15 але CCONJ 21 cc 16 , PUNCT 17 punct 17 дальбог NOUN 21 parataxis 18 , PUNCT 17 punct 19 аж PART 20 advmod 20 злосць NOUN 21 nsubj 21 узяла VERB 2 conj 22 , PUNCT 25 punct 23 што SCONJ 25 mark 24 Юрка PROPN 25 nsubj 25 спадабаў VERB 21 advcl 26 тое PRON 25 obj 27 , PUNCT 31 punct 28 што SCONJ 31 mark 29 толькі PART 30 advmod 30 блазну NOUN 32 iobj 31 можа VERB 26 acl 32 спадабацца VERB 31 xcomp 33 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Я тыкі і чыркнуў яму «Адказ», але так думаю, што гэта ён, смеючыся з нашага цёмнага брата, напісаў; гэтак думаў, што дурны мужык, дык ужо нічога і не відзе, і не знае!

Position Tokenization UPOS Head Deprel 1 Я PRON 4 nsubj 2 тыкі PART 1 advmod 3 і PART 4 advmod 4 чыркнуў VERB 0 root 5 яму PRON 4 iobj 6 « PUNCT 7 punct 7 Адказ NOUN 4 obj 8 » PUNCT 7 punct 9 , PUNCT 12 punct 10 але CCONJ 12 cc 11 так ADV 12 advmod 12 думаю VERB 4 conj 13 , PUNCT 24 punct 14 што SCONJ 24 mark 15 гэта PART 24 advmod 16 ён PRON 24 nsubj 17 , PUNCT 18 punct 18 смеючыся VERB 24 advcl 19 з ADP 22 case 20 нашага DET 22 det 21 цёмнага ADJ 22 amod 22 брата NOUN 18 obl 23 , PUNCT 18 punct 24 напісаў VERB 12 ccomp 25 ; PUNCT 27 punct 26 гэтак ADV 27 advmod 27 думаў VERB 24 conj 28 , PUNCT 31 punct 29 што SCONJ 31 mark 30 дурны ADJ 31 amod 31 мужык NOUN 27 ccomp 32 , PUNCT 38 punct 33 дык PART 38 advmod 34 ужо ADV 38 advmod 35 нічога PRON 38 obj 36 і CCONJ 38 cc 37 не PART 38 advmod 38 відзе VERB 31 conj 39 , PUNCT 42 punct 40 і CCONJ 42 cc 41 не PART 42 advmod 42 знае VERB 38 conj 43 ! PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ой, памыліўся!

Position Tokenization UPOS Head Deprel 1 Ой INTJ 3 discourse 2 , PUNCT 1 punct 3 памыліўся VERB 0 root 4 ! PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Не раўня я Бурачку, — ён лепей, можа, знае жыццё мужыцкае, больш, можа, відзеў і чуў; але так мне спадабаліся, яго тыя вершы, што і я здумаў папрабаваць штокольвек напісаць.

Position Tokenization UPOS Head Deprel 1 Не PART 2 advmod 2 раўня NOUN 0 root 3 я PRON 2 nsubj 4 Бурачку PROPN 2 iobj 5 , PUNCT 12 punct 6 — PUNCT 12 punct 7 ён PRON 12 nsubj 8 лепей ADV 12 advmod 9 , PUNCT 10 punct 10 можа VERB 12 parataxis 11 , PUNCT 10 punct 12 знае VERB 2 conj 13 жыццё NOUN 12 obj 14 мужыцкае ADJ 13 amod 15 , PUNCT 20 punct 16 больш ADV 20 advmod 17 , PUNCT 18 punct 18 можа VERB 20 parataxis 19 , PUNCT 18 punct 20 відзеў VERB 12 conj 21 і CCONJ 22 cc 22 чуў VERB 20 conj 23 ; PUNCT 27 punct 24 але CCONJ 27 cc 25 так ADV 27 advmod 26 мне PRON 27 iobj 27 спадабаліся VERB 2 conj 28 , PUNCT 31 punct 29 яго DET 31 det 30 тыя DET 31 det 31 вершы NOUN 27 nsubj 32 , PUNCT 36 punct 33 што SCONJ 36 mark 34 і PART 35 advmod 35 я PRON 36 nsubj 36 здумаў VERB 27 conj 37 папрабаваць VERB 36 xcomp 38 штокольвек NOUN 39 obj 39 напісаць VERB 37 xcomp 40 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ёсць шмат друкованых песняў нашага народа; пісаў Пачабут, Я. Тышкевіч, апісуючы наш Барысаўскі павет, і шмат хто спісываў іх, а шмат ёсць і не спісаных, але песні ўсе тыя не надта, каб сказаць праўду, харошыя, і нота наша плакучая, аднастайная, і песняў васолых не шмат, да і тых ужо рэдка пачуць.

Position Tokenization UPOS Head Deprel 1 Ёсць VERB 0 root 2 шмат ADV 4 advmod 3 друкованых VERB 4 amod 4 песняў NOUN 1 nsubj 5 нашага DET 6 det 6 народа NOUN 4 nmod 7 ; PUNCT 8 punct 8 пісаў VERB 1 conj 9 Пачабут PROPN 8 nsubj 10 , PUNCT 11 punct 11 Я. PROPN 9 conj 12 Тышкевіч PROPN 11 flat:name 13 , PUNCT 14 punct 14 апісуючы VERB 8 advcl 15 наш DET 17 det 16 Барысаўскі ADJ 17 amod 17 павет NOUN 14 obj 18 , PUNCT 22 punct 19 і CCONJ 22 cc 20 шмат ADV 21 advmod 21 хто PRON 22 nsubj 22 спісываў VERB 8 conj 23 іх PRON 22 obj 24 , PUNCT 27 punct 25 а CCONJ 27 cc 26 шмат ADV 30 advmod 27 ёсць VERB 22 conj 28 і PART 30 advmod 29 не PART 30 advmod 30 спісаных VERB 27 nsubj 31 , PUNCT 43 punct 32 але CCONJ 43 cc 33 песні NOUN 43 nsubj 34 ўсе DET 33 det 35 тыя DET 33 det 36 не PART 43 advmod 37 надта ADV 43 advmod 38 , PUNCT 40 punct 39 каб SCONJ 40 mark 40 сказаць VERB 43 advcl 41 праўду NOUN 40 obj 42 , PUNCT 40 punct 43 харошыя ADJ 27 conj 44 , PUNCT 48 punct 45 і CCONJ 48 cc 46 нота NOUN 48 nsubj 47 наша DET 46 det 48 плакучая NOUN 43 conj 49 , PUNCT 50 punct 50 аднастайная ADJ 48 conj 51 , PUNCT 56 punct 52 і CCONJ 56 cc 53 песняў NOUN 56 nsubj 54 васолых ADJ 53 amod 55 не PART 56 advmod 56 шмат ADV 43 conj 57 , PUNCT 63 punct 58 да CCONJ 63 cc 59 і CCONJ 63 cc 60 тых DET 63 obj 61 ужо ADV 63 advmod 62 рэдка ADV 63 advmod 63 пачуць VERB 56 conj 64 . PUNCT 27 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Надта за хлебам народ гоніцца, а хлеба дастане, дык і за крамнай вопраткай, і за ляксаванымі ботамі гоніцца, і ўсё маркоціцца.

Position Tokenization UPOS Head Deprel 1 Надта PART 5 advmod 2 за ADP 3 case 3 хлебам NOUN 5 obl 4 народ NOUN 5 nsubj 5 гоніцца VERB 0 root 6 , PUNCT 21 punct 7 а CCONJ 9 cc 8 хлеба NOUN 9 nsubj 9 дастане VERB 21 advcl 10 , PUNCT 9 punct 11 дык PART 21 advmod 12 і CCONJ 15 cc 13 за ADP 15 case 14 крамнай ADJ 15 amod 15 вопраткай NOUN 21 obl 16 , PUNCT 20 punct 17 і CCONJ 20 cc 18 за ADP 20 case 19 ляксаванымі ADJ 20 amod 20 ботамі NOUN 15 conj 21 гоніцца VERB 5 conj 22 , PUNCT 25 punct 23 і CCONJ 25 cc 24 ўсё ADV 25 advmod 25 маркоціцца VERB 21 conj 26 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Даўней, кажуць, людзі, як меншым абходзіліся, то больш мелі і васалейшыя былі.

Position Tokenization UPOS Head Deprel 1 Даўней ADV 13 advmod 2 , PUNCT 3 punct 3 кажуць VERB 13 parataxis 4 , PUNCT 3 punct 5 людзі NOUN 13 nsubj 6 , PUNCT 9 punct 7 як SCONJ 9 mark 8 меншым NOUN 9 iobj 9 абходзіліся VERB 13 advcl 10 , PUNCT 9 punct 11 то SCONJ 13 mark 12 больш ADV 13 advmod 13 мелі VERB 0 root 14 і CCONJ 15 cc 15 васалейшыя ADJ 13 conj 16 былі AUX 15 cop 17 . PUNCT 13 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Вот я і напісаў з дзесятак песняў «сякіх-такіх».

Position Tokenization UPOS Head Deprel 1 Вот PART 4 advmod 2 я PRON 4 nsubj 3 і PART 4 advmod 4 напісаў VERB 0 root 5 з ADP 6 case 6 дзесятак NOUN 4 obj 7 песняў NOUN 6 nmod 8 « PUNCT 9 punct 9 сякіх DET 7 det 10 - PUNCT 11 punct 11 такіх DET 9 appos 12 » PUNCT 9 punct 13 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Граю трошкі на скрыпачцы, ну дык няхай і мая ксёнжачка завецца струмантам якім; вот я і назваў яе «Смык».

Position Tokenization UPOS Head Deprel 1 Граю VERB 0 root 2 трошкі ADV 1 advmod 3 на ADP 4 case 4 скрыпачцы NOUN 1 obl 5 , PUNCT 12 punct 6 ну PART 12 parataxis 7 дык PART 12 advmod 8 няхай PART 12 advmod 9 і PART 10 advmod 10 мая DET 11 det 11 ксёнжачка NOUN 12 nsubj 12 завецца VERB 1 conj 13 струмантам NOUN 12 xcomp 14 якім DET 13 det 15 ; PUNCT 19 punct 16 вот PART 19 advmod 17 я PRON 19 nsubj 18 і PART 19 advmod 19 назваў VERB 12 conj 20 яе PRON 19 obj 21 « PUNCT 22 punct 22 Смык PROPN 19 xcomp 23 » PUNCT 22 punct 24 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Смык ёсць, а хтось скрыпку, можа, даробе, а там была «Дудка» — вот і мы зробім музыку, як тыя жыдкі, што на цымбалах іграюць.

Position Tokenization UPOS Head Deprel 1 Смык NOUN 2 nsubj 2 ёсць AUX 0 root 3 , PUNCT 10 punct 4 а CCONJ 10 cc 5 хтось PRON 10 nsubj 6 скрыпку NOUN 10 obj 7 , PUNCT 8 punct 8 можа VERB 10 parataxis 9 , PUNCT 8 punct 10 даробе VERB 2 conj 11 , PUNCT 14 punct 12 а CCONJ 14 cc 13 там ADV 14 advmod 14 была VERB 2 conj 15 « PUNCT 16 punct 16 Дудка PROPN 14 nsubj 17 » PUNCT 16 punct 18 — PUNCT 22 punct 19 вот PART 22 advmod 20 і PART 21 advmod 21 мы PRON 22 nsubj 22 зробім VERB 2 parataxis 23 музыку NOUN 22 obj 24 , PUNCT 27 punct 25 як SCONJ 27 case 26 тыя DET 27 det 27 жыдкі NOUN 22 obl 28 , PUNCT 32 punct 29 што PRON 32 nsubj 30 на ADP 31 case 31 цымбалах NOUN 32 obl 32 іграюць VERB 27 acl:relcl 33 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Сымон Рэўка з-пад Барысава

Position Tokenization UPOS Head Deprel 1 Сымон PROPN 0 root 2 Рэўка PROPN 1 flat:name 3 з-пад ADP 4 case 4 Барысава PROPN 1 nmod

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Над схаванымі ў цемры прасторамі ціха ляжала летняя ноч.

Position Tokenization UPOS Head Deprel 1 Над ADV 2 advmod 2 схаванымі VERB 5 amod 3 ў ADP 4 case 4 цемры NOUN 2 obl 5 прасторамі NOUN 7 obl 6 ціха ADV 7 advmod 7 ляжала VERB 0 root 8 летняя ADJ 9 amod 9 ноч NOUN 7 nsubj 10 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Слабыя подыхі цёплага ветрыку асцярожна неслі з сабой кволыя шолахі ніў і густыя духмяныя пахі выспелых мурожных сенажацяў.

Position Tokenization UPOS Head Deprel 1 Слабыя ADJ 2 amod 2 подыхі NOUN 6 nsubj 3 цёплага ADJ 4 amod 4 ветрыку NOUN 2 nmod 5 асцярожна ADV 6 advmod 6 неслі VERB 0 root 7 з ADP 8 case 8 сабой PRON 6 obl 9 кволыя ADJ 10 amod 10 шолахі NOUN 6 obj 11 ніў NOUN 10 nmod 12 і CCONJ 15 cc 13 густыя ADJ 15 amod 14 духмяныя ADJ 15 amod 15 пахі NOUN 10 conj 16 выспелых ADJ 18 amod 17 мурожных ADJ 18 amod 18 сенажацяў NOUN 15 nmod 19 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У нябачным травяністым наваколлі старанным хорам верашчалі конікі, недзе ўдалечыні глухімі ўздыхамі аддавалася гарматная страляніна, угары, прыкрыты цемрай, праракатаў і сціх «кукурузнік».

Position Tokenization UPOS Head Deprel 1 У ADP 4 case 2 нябачным ADJ 4 amod 3 травяністым ADJ 4 amod 4 наваколлі NOUN 7 obl 5 старанным ADJ 6 amod 6 хорам NOUN 7 obl 7 верашчалі VERB 0 root 8 конікі NOUN 7 nsubj 9 , PUNCT 14 punct 10 недзе ADV 11 advmod 11 ўдалечыні ADV 14 advmod 12 глухімі ADJ 13 amod 13 ўздыхамі NOUN 14 obl 14 аддавалася VERB 7 conj 15 гарматная ADJ 16 amod 16 страляніна NOUN 14 nsubj 17 , PUNCT 23 punct 18 угары ADV 23 advmod 19 , PUNCT 20 punct 20 прыкрыты VERB 27 acl 21 цемрай NOUN 20 obl:agent 22 , PUNCT 20 punct 23 праракатаў VERB 7 conj 24 і CCONJ 25 cc 25 сціх VERB 23 conj 26 « PUNCT 27 punct 27 кукурузнік NOUN 23 nsubj 28 » PUNCT 27 punct 29 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Павевы ветру даносілі і іншыя гукі, невыразныя і падазроныя, але тых, што намагаўся ўчуць Максім, не было ў начной цішыні.

Position Tokenization UPOS Head Deprel 1 Павевы NOUN 3 nsubj 2 ветру NOUN 1 nmod 3 даносілі VERB 0 root 4 і PART 5 advmod 5 іншыя ADJ 6 amod 6 гукі NOUN 3 obj 7 , PUNCT 8 punct 8 невыразныя ADJ 6 amod 9 і CCONJ 10 cc 10 падазроныя ADJ 8 conj 11 , PUNCT 21 punct 12 але CCONJ 21 cc 13 тых DET 21 nsubj 14 , PUNCT 16 punct 15 што PRON 17 obj 16 намагаўся VERB 13 acl:relcl 17 ўчуць VERB 16 xcomp 18 Максім PROPN 16 nsubj 19 , PUNCT 16 punct 20 не PART 21 advmod 21 было VERB 3 conj 22 ў ADP 24 case 23 начной ADJ 24 amod 24 цішыні NOUN 21 obl 25 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Тады закралася сумненне, якое парушыла разважлівы спакой чалавека.

Position Tokenization UPOS Head Deprel 1 Тады ADV 2 advmod 2 закралася VERB 0 root 3 сумненне NOUN 2 nsubj 4 , PUNCT 6 punct 5 якое PRON 6 nsubj 6 парушыла VERB 3 acl:relcl 7 разважлівы ADJ 8 amod 8 спакой NOUN 6 obj 9 чалавека NOUN 8 nmod 10 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Апаслівыя думкі заснавалі ў яго галаве, але трэба было або ехаць наперад, або вяртацца назад.

Position Tokenization UPOS Head Deprel 1 Апаслівыя ADJ 2 amod 2 думкі NOUN 3 nsubj 3 заснавалі VERB 0 root 4 ў ADP 6 case 5 яго DET 6 det 6 галаве NOUN 3 obl 7 , PUNCT 9 punct 8 але CCONJ 9 cc 9 трэба VERB 3 conj 10 было AUX 9 aux 11 або CCONJ 12 cc 12 ехаць VERB 9 csubj 13 наперад ADV 12 advmod 14 , PUNCT 16 punct 15 або CCONJ 16 cc 16 вяртацца VERB 12 conj 17 назад ADV 16 advmod 18 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Намаганнем волі Максім усё ж адагнаў благія прадчуванні і, разважыўшы, рашыў, што батальён павінен быць далей, наперадзе.

Position Tokenization UPOS Head Deprel 1 Намаганнем NOUN 6 iobj 2 волі NOUN 1 nmod 3 Максім PROPN 6 nsubj 4 усё ADV 6 advmod 5 ж PART 4 advmod 6 адагнаў VERB 0 root 7 благія ADJ 8 amod 8 прадчуванні NOUN 6 obj 9 і CCONJ 13 cc 10 , PUNCT 11 punct 11 разважыўшы VERB 13 advcl 12 , PUNCT 11 punct 13 рашыў VERB 6 conj 14 , PUNCT 17 punct 15 што SCONJ 17 mark 16 батальён NOUN 17 nsubj 17 павінен ADJ 13 ccomp 18 быць AUX 19 cop 19 далей ADV 17 xcomp 20 , PUNCT 21 punct 21 наперадзе ADV 19 conj 22 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэтае меркаванне хоць і не суняло ўзнікшай трывогі, але крыху супакоіла чалавека.

Position Tokenization UPOS Head Deprel 1 Гэтае DET 2 det 2 меркаванне NOUN 6 nsubj 3 хоць PART 6 advmod 4 і PART 6 advmod 5 не PART 6 advmod 6 суняло NOUN 0 root 7 ўзнікшай ADJ 8 amod 8 трывогі NOUN 6 obj 9 , PUNCT 12 punct 10 але CCONJ 12 cc 11 крыху NOUN 12 obl 12 супакоіла VERB 6 conj 13 чалавека NOUN 12 obj 14 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Коні, нібы зразумеўшы намер гаспадара, ахвотна падаліся па мяккай палявой дарозе.

Position Tokenization UPOS Head Deprel 1 Коні NOUN 9 nsubj 2 , PUNCT 4 punct 3 нібы PART 4 advmod 4 зразумеўшы VERB 9 advcl 5 намер NOUN 4 obj 6 гаспадара NOUN 5 nmod 7 , PUNCT 4 punct 8 ахвотна ADV 9 advmod 9 падаліся VERB 0 root 10 па ADP 13 case 11 мяккай ADJ 13 amod 12 палявой ADJ 13 amod 13 дарозе NOUN 9 obl 14 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім Корань — ездавы сёмай роты.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 4 nsubj 2 Корань PROPN 1 flat:name 3 — PUNCT 4 punct 4 ездавы NOUN 0 root 5 сёмай ADJ 6 amod 6 роты NOUN 4 nmod 7 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэтую вайсковую пасаду заняў ён нядаўна, і прычынай таму быў яго ўзрост — Корань лічыўся самым старым салдатам у роце.

Position Tokenization UPOS Head Deprel 1 Гэтую DET 3 det 2 вайсковую ADJ 3 amod 3 пасаду NOUN 4 obj 4 заняў VERB 0 root 5 ён PRON 4 nsubj 6 нядаўна ADV 4 advmod 7 , PUNCT 9 punct 8 і CCONJ 9 cc 9 прычынай NOUN 4 conj 10 таму PRON 9 nmod 11 быў AUX 9 cop 12 яго DET 13 det 13 ўзрост NOUN 9 nsubj 14 — PUNCT 16 punct 15 Корань PROPN 16 nsubj 16 лічыўся VERB 9 parataxis 17 самым ADJ 18 amod 18 старым ADJ 19 amod 19 салдатам NOUN 16 xcomp 20 у ADP 21 case 21 роце NOUN 18 obl 22 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім цяпер разумеў, што з такімі гадамі хоць і давялося трапіць на фронт, але ваяваць ужо наўрад ці прыйдзецца.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 3 nsubj 2 цяпер ADV 3 advmod 3 разумеў VERB 0 root 4 , PUNCT 11 punct 5 што SCONJ 11 mark 6 з ADP 8 case 7 такімі DET 8 det 8 гадамі NOUN 12 obl 9 хоць PART 11 advmod 10 і PART 11 advmod 11 давялося VERB 3 ccomp 12 трапіць VERB 11 xcomp 13 на ADP 14 case 14 фронт NOUN 12 obl 15 , PUNCT 21 punct 16 але CCONJ 21 cc 17 ваяваць VERB 21 xcomp 18 ужо ADV 19 advmod 19 наўрад ADV 21 advmod 20 ці PART 19 fixed 21 прыйдзецца VERB 11 conj 22 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Есць у войску старшыны, якія заўсёды цікуюць старога, каб са строю забраць яго да коней або да кухні ці яшчэ куды, дзе патрэбны дбайны, надзейны гаспадар.

Position Tokenization UPOS Head Deprel 1 Есць VERB 0 root 2 у ADP 3 case 3 войску NOUN 1 obl 4 старшыны NOUN 1 nsubj 5 , PUNCT 8 punct 6 якія PRON 8 nsubj 7 заўсёды ADV 8 advmod 8 цікуюць VERB 4 acl:relcl 9 старога ADJ 8 obj 10 , PUNCT 14 punct 11 каб SCONJ 14 mark 12 са ADP 13 case 13 строю NOUN 14 obl 14 забраць VERB 8 advcl 15 яго PRON 14 obj 16 да ADP 17 case 17 коней NOUN 14 obl 18 або CCONJ 20 cc 19 да ADP 20 case 20 кухні NOUN 17 conj 21 ці CCONJ 23 cc 22 яшчэ ADV 23 advmod 23 куды ADV 17 conj 24 , PUNCT 26 punct 25 дзе ADV 26 advmod 26 патрэбны ADJ 23 advcl 27 дбайны ADJ 30 amod 28 , PUNCT 29 punct 29 надзейны ADJ 27 conj 30 гаспадар NOUN 26 nsubj 31 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Праўда, Максім не вельмі і нудзіўся па тым стралковым узводзе, у якім ён нядоўга служыў дагэтуль.

Position Tokenization UPOS Head Deprel 1 Праўда NOUN 7 parataxis 2 , PUNCT 1 punct 3 Максім PROPN 7 nsubj 4 не PART 5 advmod 5 вельмі ADV 7 advmod 6 і PART 7 advmod 7 нудзіўся VERB 0 root 8 па ADP 11 case 9 тым DET 11 det 10 стралковым ADJ 11 amod 11 узводзе NOUN 7 obl 12 , PUNCT 17 punct 13 у ADP 14 case 14 якім PRON 17 obl 15 ён PRON 17 nsubj 16 нядоўга ADV 17 advmod 17 служыў VERB 11 acl:relcl 18 дагэтуль ADV 17 advmod 19 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: «Эт,— разважаў ён,— калі нягож у страі, дык і няма чаго лезці туды.

Position Tokenization UPOS Head Deprel 1 « PUNCT 2 punct 2 Эт PART 16 discourse 3 , PUNCT 5 punct 4 — PUNCT 5 punct 5 разважаў VERB 0 root 6 ён PRON 5 nsubj 7 , PUNCT 5 punct 8 — PUNCT 16 punct 9 калі SCONJ 10 mark 10 нягож PART 16 advcl 11 у ADP 12 case 12 страі NOUN 10 obl 13 , PUNCT 10 punct 14 дык PART 16 advmod 15 і PART 16 advmod 16 няма VERB 5 parataxis 17 чаго PRON 16 fixed 18 лезці VERB 16 csubj 19 туды ADV 18 advmod 20 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Начальству лепш відаць, дзе тваё месца».

Position Tokenization UPOS Head Deprel 1 Начальству NOUN 3 iobj 2 лепш ADV 3 advmod 3 відаць VERB 0 root 4 , PUNCT 5 punct 5 дзе ADV 3 ccomp 6 тваё DET 7 det 7 месца NOUN 5 nsubj 8 » PUNCT 3 punct 9 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Нядаўна па загадзе старшыны прыняў ён пару спраўных трафейных коней і цяжкую, акутую жалезам вайсковую каламажку.

Position Tokenization UPOS Head Deprel 1 Нядаўна ADV 5 advmod 2 па ADP 3 case 3 загадзе NOUN 5 obl 4 старшыны NOUN 3 nmod 5 прыняў VERB 0 root 6 ён PRON 7 nsubj 7 пару NOUN 5 obj 8 спраўных ADJ 10 amod 9 трафейных ADJ 10 amod 10 коней NOUN 7 nmod 11 і CCONJ 17 cc 12 цяжкую ADJ 17 amod 13 , PUNCT 14 punct 14 акутую VERB 12 conj 15 жалезам NOUN 14 iobj 16 вайсковую ADJ 17 amod 17 каламажку NOUN 7 conj 18 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Так пачалася яго служба на новай пасадзе, служба спакойная і аднастайная, мала чым падобная да вайсковай.

Position Tokenization UPOS Head Deprel 1 Так ADV 2 advmod 2 пачалася VERB 0 root 3 яго DET 4 det 4 служба NOUN 2 nsubj 5 на ADP 7 case 6 новай ADJ 7 amod 7 пасадзе NOUN 2 obl 8 , PUNCT 9 punct 9 служба NOUN 4 conj 10 спакойная ADJ 9 amod 11 і CCONJ 12 cc 12 аднастайная ADJ 10 conj 13 , PUNCT 16 punct 14 мала ADV 15 advmod 15 чым PRON 16 obl 16 падобная ADJ 10 conj 17 да ADP 18 case 18 вайсковай ADJ 16 obl 19 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім ведаў толькі клопаты пра коней ды паклажу, выконваў старшыновы загады, асцерагаўся бамбёжкі ды баяўся часам задрамаць на возе, каб не адстаць ад абозу.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 2 nsubj 2 ведаў VERB 0 root 3 толькі PART 4 advmod 4 клопаты NOUN 2 obj 5 пра ADP 6 case 6 коней NOUN 4 nmod 7 ды CCONJ 8 cc 8 паклажу NOUN 6 conj 9 , PUNCT 10 punct 10 выконваў VERB 2 conj 11 старшыновы ADJ 12 amod 12 загады NOUN 10 obj 13 , PUNCT 14 punct 14 асцерагаўся VERB 2 conj 15 бамбёжкі NOUN 14 obj 16 ды CCONJ 17 cc 17 баяўся VERB 2 conj 18 часам NOUN 19 obl 19 задрамаць VERB 17 xcomp 20 на ADP 21 case 21 возе NOUN 19 obl 22 , PUNCT 25 punct 23 каб SCONJ 25 mark 24 не PART 25 advmod 25 адстаць VERB 17 advcl 26 ад ADP 27 case 27 абозу NOUN 25 obl 28 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пад бамбёжку, праўда, трапіць не давялося, а адстаць вось здарыўся выпадак.

Position Tokenization UPOS Head Deprel 1 Пад ADP 2 case 2 бамбёжку NOUN 6 obl 3 , PUNCT 4 punct 4 праўда NOUN 8 parataxis 5 , PUNCT 4 punct 6 трапіць VERB 8 xcomp 7 не PART 8 advmod 8 давялося VERB 0 root 9 , PUNCT 13 punct 10 а CCONJ 13 cc 11 адстаць VERB 13 xcomp 12 вось PART 13 advmod 13 здарыўся VERB 8 conj 14 выпадак NOUN 13 nsubj 15 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: «і як недарэчна выйшла, — думаў Максім.

Position Tokenization UPOS Head Deprel 1 « PUNCT 5 punct 2 і CCONJ 5 cc 3 як ADV 4 advmod 4 недарэчна ADV 5 advmod 5 выйшла VERB 0 root 6 , PUNCT 8 punct 7 — PUNCT 8 punct 8 думаў VERB 5 parataxis 9 Максім PROPN 8 nsubj 10 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — Каб ён згарэў, той вобад.

Position Tokenization UPOS Head Deprel 1 — PUNCT 4 punct 2 Каб SCONJ 4 mark 3 ён PRON 4 nsubj 4 згарэў VERB 0 root 5 , PUNCT 7 punct 6 той DET 7 det 7 вобад NOUN 3 appos 8 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Трэба ж было яму збракаваць у цемры.

Position Tokenization UPOS Head Deprel 1 Трэба VERB 0 root 2 ж PART 1 advmod 3 было AUX 1 aux 4 яму PRON 1 iobj 5 збракаваць VERB 1 csubj 6 у ADP 7 case 7 цемры NOUN 5 obl 8 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Даганяй цяпер батальён, шукай сярод ночы».

Position Tokenization UPOS Head Deprel 1 Даганяй VERB 0 root 2 цяпер ADV 1 advmod 3 батальён NOUN 1 obj 4 , PUNCT 5 punct 5 шукай VERB 1 conj 6 сярод ADP 7 case 7 ночы NOUN 5 obl 8 » PUNCT 1 punct 9 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — Нэ-нэ, любыя, варушыся, — упаўголаса, лагодна падганяе Максім коней, седзячы на перадку, і немаладымі вачыма імкнецца разгледзець што-небудзь наперадзе.

Position Tokenization UPOS Head Deprel 1 — PUNCT 6 punct 2 Нэ-нэ INTJ 6 discourse 3 , PUNCT 4 punct 4 любыя ADJ 6 vocative 5 , PUNCT 4 punct 6 варушыся VERB 0 root 7 , PUNCT 12 punct 8 — PUNCT 12 punct 9 упаўголаса ADV 12 advmod 10 , PUNCT 11 punct 11 лагодна ADV 9 conj 12 падганяе VERB 6 parataxis 13 Максім PROPN 12 nsubj 14 коней NOUN 12 obj 15 , PUNCT 16 punct 16 седзячы VERB 12 advcl 17 на ADP 18 case 18 перадку NOUN 16 obl 19 , PUNCT 23 punct 20 і CCONJ 23 cc 21 немаладымі ADJ 22 amod 22 вачыма NOUN 24 iobj 23 імкнецца VERB 12 conj 24 разгледзець VERB 23 xcomp 25 што-небудзь PRON 24 obj 26 наперадзе ADV 24 advmod 27 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Але ноч выдалася не палетняму цёмная, у ёй і з добрым зрокам нічога нельга было ўбачыць.

Position Tokenization UPOS Head Deprel 1 Але CCONJ 3 cc 2 ноч NOUN 3 nsubj 3 выдалася VERB 0 root 4 не PART 5 advmod 5 палетняму ADV 6 advmod 6 цёмная ADJ 3 acl 7 , PUNCT 15 punct 8 у ADP 9 case 9 ёй PRON 17 obl 10 і PART 13 advmod 11 з ADP 13 case 12 добрым ADJ 13 amod 13 зрокам NOUN 17 obl 14 нічога PRON 17 obj 15 нельга VERB 3 conj 16 было AUX 15 aux 17 ўбачыць VERB 15 xcomp 18 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Зямля да раніцы старанна схавала сваё аблічча, каб заўтра сустрэць сонца новым, пасвяжэлым хараством.

Position Tokenization UPOS Head Deprel 1 Зямля NOUN 5 nsubj 2 да ADP 3 case 3 раніцы NOUN 5 obl 4 старанна ADV 5 advmod 5 схавала VERB 0 root 6 сваё DET 7 det 7 аблічча NOUN 5 obj 8 , PUNCT 11 punct 9 каб SCONJ 11 mark 10 заўтра ADV 11 advmod 11 сустрэць VERB 5 advcl 12 сонца NOUN 11 obj 13 новым ADJ 16 amod 14 , PUNCT 15 punct 15 пасвяжэлым ADJ 16 amod 16 хараством NOUN 11 obl 17 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Толькі высокае зорнае неба, уладарна ўзнёсшыся над ёю, поўнілася бляскам і няспыннай мітуснёю зор.

Position Tokenization UPOS Head Deprel 1 Толькі PART 4 advmod 2 высокае ADJ 4 amod 3 зорнае ADJ 4 amod 4 неба NOUN 11 nsubj 5 , PUNCT 7 punct 6 уладарна ADV 7 advmod 7 ўзнёсшыся VERB 11 advcl 8 над ADP 9 case 9 ёю PRON 7 obl 10 , PUNCT 7 punct 11 поўнілася VERB 0 root 12 бляскам NOUN 11 iobj 13 і CCONJ 15 cc 14 няспыннай ADJ 15 amod 15 мітуснёю NOUN 12 conj 16 зор NOUN 15 nmod 17 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Злёгку варушачы лейцамі, Максім з непрыемнасцю думаў, што цяпер, пэўна, пападзе ад старшыны.

Position Tokenization UPOS Head Deprel 1 Злёгку ADV 2 advmod 2 варушачы VERB 8 advcl 3 лейцамі NOUN 2 obj 4 , PUNCT 2 punct 5 Максім PROPN 8 nsubj 6 з ADP 7 case 7 непрыемнасцю NOUN 8 obl 8 думаў VERB 0 root 9 , PUNCT 15 punct 10 што SCONJ 15 mark 11 цяпер ADV 15 advmod 12 , PUNCT 13 punct 13 пэўна ADV 15 advmod 14 , PUNCT 13 punct 15 пападзе VERB 8 ccomp 16 ад ADP 17 case 17 старшыны NOUN 15 obl 18 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Аднойчы між імі ўжо была сутычка: старшына задаў перцу ездавому, не абышлося, вядома, і без моцнага слова.

Position Tokenization UPOS Head Deprel 1 Аднойчы ADV 5 advmod 2 між ADP 3 case 3 імі PRON 5 obl 4 ўжо ADV 5 advmod 5 была VERB 0 root 6 сутычка NOUN 5 nsubj 7 : PUNCT 9 punct 8 старшына NOUN 9 nsubj 9 задаў VERB 5 parataxis 10 перцу NOUN 9 obj 11 ездавому NOUN 9 iobj 12 , PUNCT 14 punct 13 не PART 14 advmod 14 абышлося VERB 9 conj 15 , PUNCT 16 punct 16 вядома ADJ 14 parataxis 17 , PUNCT 16 punct 18 і PART 21 advmod 19 без ADP 21 case 20 моцнага ADJ 21 amod 21 слова NOUN 14 obl 22 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яно крыўдна, праўда, але, бадай, справядліва.

Position Tokenization UPOS Head Deprel 1 Яно PRON 2 nsubj 2 крыўдна ADJ 0 root 3 , PUNCT 4 punct 4 праўда NOUN 2 parataxis 5 , PUNCT 10 punct 6 але CCONJ 10 cc 7 , PUNCT 8 punct 8 бадай PART 10 parataxis 9 , PUNCT 8 punct 10 справядліва ADJ 2 conj 11 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім і сам невялікай думкі аб уласных якасцях.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 5 nsubj 2 і PART 3 advmod 3 сам ADJ 5 acl 4 невялікай ADJ 5 amod 5 думкі NOUN 0 root 6 аб ADP 8 case 7 уласных ADJ 8 amod 8 якасцях NOUN 5 obl 9 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дый якія там якасці, калі чалавеку з паўсотні год, маладосць пражыў цёмным мужыком, без пісьменнасці, у працы ды нястачы.

Position Tokenization UPOS Head Deprel 1 Дый CCONJ 2 cc 2 якія DET 0 root 3 там ADV 2 advmod 4 якасці NOUN 2 nsubj 5 , PUNCT 9 punct 6 калі SCONJ 9 mark 7 чалавеку NOUN 9 iobj 8 з ADP 9 case 9 паўсотні NOUN 2 advcl 10 год NOUN 9 nmod 11 , PUNCT 13 punct 12 маладосць NOUN 13 obj 13 пражыў VERB 9 conj 14 цёмным ADJ 15 amod 15 мужыком NOUN 13 obl 16 , PUNCT 18 punct 17 без ADP 18 case 18 пісьменнасці NOUN 15 conj 19 , PUNCT 21 punct 20 у ADP 21 case 21 працы NOUN 15 conj 22 ды CCONJ 23 cc 23 нястачы NOUN 21 conj 24 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Нават і чыгункі не бачыў ніколі, і дзе яе ўбачыш, калі да найбліжэйшай станцыі было дзевяноста вёрст.

Position Tokenization UPOS Head Deprel 1 Нават ADV 5 advmod 2 і PART 3 advmod 3 чыгункі NOUN 5 nsubj 4 не PART 5 advmod 5 бачыў VERB 0 root 6 ніколі ADV 5 advmod 7 , PUNCT 11 punct 8 і CCONJ 11 cc 9 дзе ADV 11 advmod 10 яе PRON 11 obj 11 ўбачыш VERB 5 conj 12 , PUNCT 16 punct 13 калі SCONJ 16 mark 14 да ADP 16 case 15 найбліжэйшай ADJ 16 amod 16 станцыі NOUN 11 advcl 17 было AUX 16 cop 18 дзевяноста NUM 19 nummod:gov 19 вёрст NOUN 16 nsubj 20 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Так, у лясной глушы, пад панскай уладай і ішло жыццё.

Position Tokenization UPOS Head Deprel 1 Так ADV 11 parataxis 2 , PUNCT 1 punct 3 у ADP 5 case 4 лясной ADJ 5 amod 5 глушы NOUN 11 obl 6 , PUNCT 9 punct 7 пад ADP 9 case 8 панскай ADJ 9 amod 9 уладай NOUN 5 conj 10 і PART 11 advmod 11 ішло VERB 0 root 12 жыццё NOUN 11 nsubj 13 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Толькі ў 39-м з’явілася надзея, акрыяў духам, ды ненадоўга.

Position Tokenization UPOS Head Deprel 1 Толькі PART 3 advmod 2 ў ADP 3 case 3 39-м ADJ 4 obl 4 з’явілася VERB 0 root 5 надзея NOUN 4 nsubj 6 , PUNCT 7 punct 7 акрыяў VERB 4 conj 8 духам NOUN 7 obl 9 , PUNCT 11 punct 10 ды CCONJ 11 cc 11 ненадоўга ADV 7 advmod 12 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Зноў жыццё пайшло вірам, у вайну загінуў старэйшы сын, памерла старая...

Position Tokenization UPOS Head Deprel 1 Зноў ADV 3 advmod 2 жыццё NOUN 3 nsubj 3 пайшло VERB 0 root 4 вірам NOUN 8 obl 5 , PUNCT 8 punct 6 у ADP 7 case 7 вайну NOUN 8 obl 8 загінуў VERB 3 conj 9 старэйшы ADJ 10 amod 10 сын NOUN 8 nsubj 11 , PUNCT 12 punct 12 памерла VERB 8 conj 13 старая ADJ 12 nsubj 14 ... PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дый сам пастарэў да часу, знік былы спрыт у працы, надламаўся характар.

Position Tokenization UPOS Head Deprel 1 Дый CCONJ 3 cc 2 сам ADJ 3 acl 3 пастарэў VERB 0 root 4 да ADP 5 case 5 часу NOUN 3 obl 6 , PUNCT 7 punct 7 знік VERB 3 conj 8 былы ADJ 9 amod 9 спрыт NOUN 7 nsubj 10 у ADP 11 case 11 працы NOUN 9 nmod 12 , PUNCT 13 punct 13 надламаўся VERB 3 conj 14 характар NOUN 13 nsubj 15 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дзе яму цяпер раўняцца з маладымі ды разумнымі.

Position Tokenization UPOS Head Deprel 1 Дзе ADV 4 advmod 2 яму PRON 4 iobj 3 цяпер ADV 4 advmod 4 раўняцца VERB 0 root 5 з ADP 6 case 6 маладымі ADJ 4 obl 7 ды CCONJ 8 cc 8 разумнымі ADJ 6 conj 9 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: «Ну і хай, — суцяшае сябе Максім, — хоць бы і абознік.

Position Tokenization UPOS Head Deprel 1 « PUNCT 2 punct 2 Ну PART 4 advmod 3 і CCONJ 2 fixed 4 хай PART 15 parataxis 5 , PUNCT 7 punct 6 — PUNCT 7 punct 7 суцяшае VERB 0 root 8 сябе PRON 7 obj 9 Максім PROPN 7 nsubj 10 , PUNCT 15 punct 11 — PUNCT 15 punct 12 хоць SCONJ 15 mark 13 бы PART 12 fixed 14 і PART 15 advmod 15 абознік NOUN 7 parataxis 16 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Усё ж трэба камусьці быць і пры возе...»

Position Tokenization UPOS Head Deprel 1 Усё ADV 3 advmod 2 ж PART 1 advmod 3 трэба VERB 0 root 4 камусьці PRON 3 iobj 5 быць AUX 8 cop 6 і PART 8 advmod 7 пры ADP 8 case 8 возе NOUN 3 csubj 9 ... PUNCT 3 punct 10 » PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: А коні Максіму спадабаліся.

Position Tokenization UPOS Head Deprel 1 А CCONJ 4 cc 2 коні NOUN 4 nsubj 3 Максіму PROPN 4 iobj 4 спадабаліся VERB 0 root 5 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У сваім жыцці не давялося мець добрых, дык цяпер вайсковыя не на жарт захапілі сялянскую душу байца.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 сваім DET 3 det 3 жыцці NOUN 6 obl 4 не PART 5 advmod 5 давялося VERB 0 root 6 мець VERB 5 xcomp 7 добрых ADJ 6 obj 8 , PUNCT 15 punct 9 дык PART 15 advmod 10 цяпер ADV 15 advmod 11 вайсковыя ADJ 15 nsubj 12 не PART 14 advmod 13 на ADP 14 case 14 жарт NOUN 15 obl 15 захапілі VERB 5 conj 16 сялянскую ADJ 17 amod 17 душу NOUN 15 obj 18 байца NOUN 17 nmod 19 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Што і казаць: добрыя былі коні, у гаспадарку б такіх, у плуг з накаваным новым лемехам, на ўрадлівую зямлю...

Position Tokenization UPOS Head Deprel 1 Што PRON 3 obj 2 і PART 3 advmod 3 казаць VERB 0 root 4 : PUNCT 5 punct 5 добрыя ADJ 3 parataxis 6 былі AUX 5 cop 7 коні NOUN 5 nsubj 8 , PUNCT 12 punct 9 у ADP 10 case 10 гаспадарку NOUN 12 orphan 11 б AUX 12 orphan 12 такіх DET 5 conj 13 , PUNCT 15 punct 14 у ADP 15 case 15 плуг NOUN 10 conj 16 з ADP 19 case 17 накаваным ADJ 19 amod 18 новым ADJ 19 amod 19 лемехам NOUN 15 nmod 20 , PUNCT 23 punct 21 на ADP 23 case 22 ўрадлівую ADJ 23 amod 23 зямлю NOUN 10 conj 24 ... PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Так, крыху паспакайнеўшы, думаў ездавы, а коні ішлі як самі хацелі — дзе трушком, а дзе і крокам.

Position Tokenization UPOS Head Deprel 1 Так ADV 6 advmod 2 , PUNCT 4 punct 3 крыху NOUN 4 obj 4 паспакайнеўшы VERB 6 advcl 5 , PUNCT 4 punct 6 думаў VERB 0 root 7 ездавы NOUN 6 nsubj 8 , PUNCT 11 punct 9 а CCONJ 11 cc 10 коні NOUN 11 nsubj 11 ішлі VERB 6 conj 12 як SCONJ 14 mark 13 самі ADJ 14 acl 14 хацелі VERB 11 advcl 15 — PUNCT 17 punct 16 дзе ADV 17 advmod 17 трушком NOUN 14 conj 18 , PUNCT 22 punct 19 а CCONJ 22 cc 20 дзе ADV 22 advmod 21 і PART 22 advmod 22 крокам NOUN 17 conj 23 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яны ўжо мінулі поле і дасягнулі хваёвага ўзлеску, які змрочнай сцяной паўстаў на Максімавым шляху.

Position Tokenization UPOS Head Deprel 1 Яны PRON 3 nsubj 2 ўжо ADV 3 advmod 3 мінулі VERB 0 root 4 поле NOUN 3 obj 5 і CCONJ 6 cc 6 дасягнулі VERB 3 conj 7 хваёвага ADJ 8 amod 8 ўзлеску NOUN 6 obj 9 , PUNCT 13 punct 10 які PRON 13 nsubj 11 змрочнай ADJ 12 amod 12 сцяной NOUN 13 obl 13 паўстаў VERB 8 acl:relcl 14 на ADP 16 case 15 Максімавым ADJ 16 amod 16 шляху NOUN 13 obl 17 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дарога стала пясчанай, і фурманка амаль не скрыпела і не стукала.

Position Tokenization UPOS Head Deprel 1 Дарога NOUN 2 nsubj 2 стала VERB 0 root 3 пясчанай ADJ 2 xcomp 4 , PUNCT 9 punct 5 і CCONJ 9 cc 6 фурманка NOUN 9 nsubj 7 амаль ADV 9 advmod 8 не PART 9 advmod 9 скрыпела VERB 2 conj 10 і CCONJ 12 cc 11 не PART 12 advmod 12 стукала VERB 9 conj 13 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Толькі зрэдку, трапіўшы на карнявішча, яна аднабока перавальвалася пярэднімі і заднімі коламі.

Position Tokenization UPOS Head Deprel 1 Толькі PART 10 advmod 2 зрэдку ADV 10 advmod 3 , PUNCT 4 punct 4 трапіўшы VERB 10 advcl 5 на ADP 6 case 6 карнявішча NOUN 4 obl 7 , PUNCT 4 punct 8 яна PRON 10 nsubj 9 аднабока ADV 10 advmod 10 перавальвалася VERB 0 root 11 пярэднімі ADJ 14 amod 12 і CCONJ 13 cc 13 заднімі ADJ 11 conj 14 коламі NOUN 10 obl 15 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У гэтай таемнай лясной прыцішанасці Максіму зноў зрабілася ніякавата, і ён, сілячыся не бразнуць чым, каб не парушыць цішыні, узяў з воза вінтоўку.

Position Tokenization UPOS Head Deprel 1 У ADP 5 case 2 гэтай DET 5 det 3 таемнай ADJ 5 amod 4 лясной ADJ 5 amod 5 прыцішанасці NOUN 8 obl 6 Максіму PROPN 8 iobj 7 зноў ADV 8 advmod 8 зрабілася VERB 0 root 9 ніякавата ADJ 8 xcomp 10 , PUNCT 24 punct 11 і CCONJ 24 cc 12 ён PRON 24 nsubj 13 , PUNCT 14 punct 14 сілячыся VERB 24 advcl 15 не PART 16 advmod 16 бразнуць VERB 14 xcomp 17 чым PRON 16 obj 18 , PUNCT 21 punct 19 каб SCONJ 21 mark 20 не PART 21 advmod 21 парушыць VERB 16 advcl 22 цішыні NOUN 21 obj 23 , PUNCT 21 punct 24 узяў VERB 8 conj 25 з ADP 26 case 26 воза NOUN 24 obl 27 вінтоўку NOUN 24 obj 28 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пэўна ад надакучлівай адзіноты Максім прыпомніў былы свой трэці ўзвод, камандзіра аддзялення татарына Сагітава, які вучыў яго страляць і акопвацца.

Position Tokenization UPOS Head Deprel 1 Пэўна ADV 6 advmod 2 ад ADP 4 case 3 надакучлівай ADJ 4 amod 4 адзіноты NOUN 6 obl 5 Максім PROPN 6 nsubj 6 прыпомніў VERB 0 root 7 былы ADJ 10 amod 8 свой DET 10 det 9 трэці ADJ 10 amod 10 ўзвод NOUN 6 obj 11 , PUNCT 12 punct 12 камандзіра NOUN 10 conj 13 аддзялення NOUN 12 nmod 14 татарына PROPN 12 appos 15 Сагітава PROPN 14 appos 16 , PUNCT 18 punct 17 які PRON 18 nsubj 18 вучыў VERB 12 acl:relcl 19 яго PRON 18 obj 20 страляць VERB 18 xcomp 21 і CCONJ 22 cc 22 акопвацца VERB 20 conj 23 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: З акопваннем, праўда, справа ішла паспяхова, а вось у стральбе не шанцавала Максіму.

Position Tokenization UPOS Head Deprel 1 З ADP 2 case 2 акопваннем NOUN 7 obl 3 , PUNCT 4 punct 4 праўда NOUN 2 parataxis 5 , PUNCT 4 punct 6 справа NOUN 7 nsubj 7 ішла VERB 0 root 8 паспяхова ADV 7 advmod 9 , PUNCT 15 punct 10 а CCONJ 15 cc 11 вось PART 13 advmod 12 у ADP 13 case 13 стральбе NOUN 15 obl 14 не PART 15 advmod 15 шанцавала VERB 7 conj 16 Максіму PROPN 15 iobj 17 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: «Які ўжо там з мяне стралец, — ухмыляецца ездавы, — у жыцці ружжа не трымаў, не то што вайсковай стрэльбы».

Position Tokenization UPOS Head Deprel 1 « PUNCT 2 punct 2 Які DET 0 root 3 ўжо ADV 2 advmod 4 там ADV 2 advmod 5 з ADP 6 case 6 мяне PRON 2 obl 7 стралец NOUN 2 nsubj 8 , PUNCT 10 punct 9 — PUNCT 10 punct 10 ухмыляецца VERB 7 parataxis 11 ездавы NOUN 10 nsubj 12 , PUNCT 18 punct 13 — PUNCT 18 punct 14 у ADP 15 case 15 жыцці NOUN 18 obl 16 ружжа NOUN 18 obj 17 не PART 18 advmod 18 трымаў VERB 10 parataxis 19 , PUNCT 24 punct 20 не PART 24 advmod 21 то SCONJ 20 fixed 22 што SCONJ 20 fixed 23 вайсковай ADJ 24 amod 24 стрэльбы NOUN 16 conj 25 » PUNCT 2 punct 26 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Аднак, трапіўшы надоечы да коней, ён выпрасіў у старшыны вінтоўку, а трафейны карабін аддаў назад.

Position Tokenization UPOS Head Deprel 1 Аднак CCONJ 9 cc 2 , PUNCT 3 punct 3 трапіўшы VERB 9 advcl 4 надоечы ADV 3 advmod 5 да ADP 6 case 6 коней NOUN 3 obl 7 , PUNCT 3 punct 8 ён PRON 9 nsubj 9 выпрасіў VERB 0 root 10 у ADP 11 case 11 старшыны NOUN 9 obl 12 вінтоўку NOUN 9 obj 13 , PUNCT 17 punct 14 а CCONJ 17 cc 15 трафейны ADJ 16 amod 16 карабін NOUN 17 obj 17 аддаў VERB 9 conj 18 назад ADV 17 advmod 19 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — Бо ямчэй мне з ёю: усё ж руская.

Position Tokenization UPOS Head Deprel 1 — PUNCT 3 punct 2 Бо SCONJ 3 mark 3 ямчэй ADJ 0 root 4 мне PRON 3 iobj 5 з ADP 6 case 6 ёю PRON 3 obl 7 : PUNCT 10 punct 8 усё ADV 10 advmod 9 ж PART 8 advmod 10 руская ADJ 3 parataxis 11 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ды і даўжэйшая, далей возьме, — вытлумачыў Корань.

Position Tokenization UPOS Head Deprel 1 Ды CCONJ 3 cc 2 і CCONJ 3 cc 3 даўжэйшая ADJ 0 root 4 , PUNCT 6 punct 5 далей ADV 6 advmod 6 возьме VERB 3 conj 7 , PUNCT 9 punct 8 — PUNCT 9 punct 9 вытлумачыў VERB 3 parataxis 10 Корань PROPN 9 nsubj 11 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цяпер гэтую вінтоўку прымасціў ён на каленях, але ў такім стане яна перашкаджала кіраваць коньмі, і Максім узяў яе на рэмень.

Position Tokenization UPOS Head Deprel 1 Цяпер ADV 4 advmod 2 гэтую DET 3 det 3 вінтоўку NOUN 4 obj 4 прымасціў VERB 0 root 5 ён PRON 7 nsubj 6 на ADP 7 case 7 каленях NOUN 4 obl 8 , PUNCT 14 punct 9 але CCONJ 14 cc 10 ў ADP 12 case 11 такім DET 12 det 12 стане NOUN 14 obl 13 яна PRON 14 nsubj 14 перашкаджала VERB 4 conj 15 кіраваць VERB 14 xcomp 16 коньмі NOUN 15 obj 17 , PUNCT 20 punct 18 і CCONJ 20 cc 19 Максім PROPN 20 nsubj 20 узяў VERB 14 conj 21 яе PRON 20 obj 22 на ADP 23 case 23 рэмень NOUN 20 obl 24 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Потым, прызвычаіўшыся да лясной дарогі і крыху супакоіўшыся, баец уздзеў яе за спіну, як і належала ездавому.

Position Tokenization UPOS Head Deprel 1 Потым ADV 12 advmod 2 , PUNCT 3 punct 3 прызвычаіўшыся VERB 12 advcl 4 да ADP 6 case 5 лясной ADJ 6 amod 6 дарогі NOUN 3 obl 7 і CCONJ 9 cc 8 крыху NOUN 9 obl 9 супакоіўшыся VERB 3 conj 10 , PUNCT 3 punct 11 баец NOUN 12 nsubj 12 уздзеў VERB 0 root 13 яе PRON 12 obj 14 за ADP 15 case 15 спіну NOUN 12 obl 16 , PUNCT 19 punct 17 як SCONJ 19 mark 18 і PART 19 advmod 19 належала VERB 12 advcl 20 ездавому NOUN 19 iobj 21 . PUNCT 12 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Неўзабаве лес скончыўся і зноў пачалося поле.

Position Tokenization UPOS Head Deprel 1 Неўзабаве ADV 3 advmod 2 лес NOUN 3 nsubj 3 скончыўся VERB 0 root 4 і CCONJ 6 cc 5 зноў ADV 6 advmod 6 пачалося VERB 3 conj 7 поле NOUN 6 nsubj 8 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цемра нібы парадзела, расступілася, але паранейшаму воддаль ад дарогі нічога нельга было ўбачыць.

Position Tokenization UPOS Head Deprel 1 Цемра NOUN 3 nsubj 2 нібы PART 3 advmod 3 парадзела VERB 0 root 4 , PUNCT 5 punct 5 расступілася VERB 3 conj 6 , PUNCT 13 punct 7 але CCONJ 13 cc 8 паранейшаму ADV 13 advmod 9 воддаль ADV 13 advmod 10 ад ADP 11 case 11 дарогі NOUN 15 obl 12 нічога PRON 15 obj 13 нельга VERB 3 conj 14 было AUX 13 aux 15 ўбачыць VERB 13 csubj 16 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Коні ступалі жвава, ім таксама надакучыла падарожжа, і яны прыкметна імкнуліся наперад.

Position Tokenization UPOS Head Deprel 1 Коні NOUN 2 nsubj 2 ступалі VERB 0 root 3 жвава ADV 2 advmod 4 , PUNCT 7 punct 5 ім PRON 7 iobj 6 таксама ADV 7 advmod 7 надакучыла VERB 2 conj 8 падарожжа NOUN 7 nsubj 9 , PUNCT 13 punct 10 і CCONJ 13 cc 11 яны PRON 13 nsubj 12 прыкметна ADV 13 advmod 13 імкнуліся VERB 2 conj 14 наперад ADV 13 advmod 15 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: А ноч зачароўвала хараством.

Position Tokenization UPOS Head Deprel 1 А CCONJ 3 cc 2 ноч NOUN 3 nsubj 3 зачароўвала VERB 0 root 4 хараством NOUN 3 iobj 5 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Струменілі раслінныя пахі, цёплай дрымотаю павяваў ласкавы ветрык, і ў недасяглай вышыні незразумелай мігатлівай музыкай трапяталіся зоркі.

Position Tokenization UPOS Head Deprel 1 Струменілі VERB 0 root 2 раслінныя ADJ 3 amod 3 пахі NOUN 1 nsubj 4 , PUNCT 7 punct 5 цёплай ADJ 6 amod 6 дрымотаю NOUN 7 iobj 7 павяваў VERB 1 conj 8 ласкавы ADJ 9 amod 9 ветрык NOUN 7 nsubj 10 , PUNCT 18 punct 11 і CCONJ 18 cc 12 ў ADP 14 case 13 недасяглай ADJ 14 amod 14 вышыні NOUN 18 obl 15 незразумелай ADJ 17 amod 16 мігатлівай ADJ 17 amod 17 музыкай NOUN 18 obl 18 трапяталіся VERB 1 conj 19 зоркі NOUN 18 nsubj 20 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дні стаялі спякотныя, з рэдкімі пераходнымі навальніцамі, ад нагрэтай зямлі за поўнач зыходзіла цеплыня.

Position Tokenization UPOS Head Deprel 1 Дні NOUN 2 nsubj 2 стаялі VERB 0 root 3 спякотныя ADJ 2 acl 4 , PUNCT 8 punct 5 з ADP 8 case 6 рэдкімі ADJ 8 amod 7 пераходнымі ADJ 8 amod 8 навальніцамі NOUN 3 conj 9 , PUNCT 15 punct 10 ад ADP 12 case 11 нагрэтай VERB 12 amod 12 зямлі NOUN 15 obl 13 за ADP 14 case 14 поўнач NOUN 15 obl 15 зыходзіла VERB 2 conj 16 цеплыня NOUN 15 nsubj 17 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: А раніцай збажына і даспелыя травы зіхацелі срэбнымі росамі, і ззялі ў доле іскрыстыя зоркі, нібы апаўшы з неба ўначы.

Position Tokenization UPOS Head Deprel 1 А CCONJ 7 cc 2 раніцай NOUN 7 obl 3 збажына NOUN 7 nsubj 4 і CCONJ 6 cc 5 даспелыя ADJ 6 amod 6 травы NOUN 3 conj 7 зіхацелі VERB 0 root 8 срэбнымі ADJ 9 amod 9 росамі NOUN 7 obl 10 , PUNCT 12 punct 11 і CCONJ 12 cc 12 ззялі VERB 7 conj 13 ў ADP 14 case 14 доле NOUN 12 obl 15 іскрыстыя ADJ 16 amod 16 зоркі NOUN 12 nsubj 17 , PUNCT 19 punct 18 нібы PART 19 advmod 19 апаўшы VERB 12 advcl 20 з ADP 21 case 21 неба NOUN 19 obl 22 ўначы ADV 19 advmod 23 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Захоплены думкамі, Максім не адразу заўважыў, што коні чамусьці прыцішылі хаду і нарэшце нерашуча спыніліся.

Position Tokenization UPOS Head Deprel 1 Захоплены VERB 7 acl 2 думкамі NOUN 1 obl:agent 3 , PUNCT 1 punct 4 Максім PROPN 7 nsubj 5 не PART 6 advmod 6 адразу ADV 7 advmod 7 заўважыў VERB 0 root 8 , PUNCT 12 punct 9 што SCONJ 12 mark 10 коні NOUN 12 nsubj 11 чамусьці ADV 12 advmod 12 прыцішылі VERB 7 ccomp 13 хаду NOUN 12 obj 14 і CCONJ 17 cc 15 нарэшце ADV 17 advmod 16 нерашуча ADV 17 advmod 17 спыніліся VERB 12 conj 18 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ездавы спрабаваў быў тузануць лейцамі, але гэта не падзейнічала, тады ён не замарудзіў злезці.

Position Tokenization UPOS Head Deprel 1 Ездавы NOUN 2 nsubj 2 спрабаваў VERB 0 root 3 быў AUX 2 aux 4 тузануць VERB 2 xcomp 5 лейцамі NOUN 4 iobj 6 , PUNCT 10 punct 7 але CCONJ 10 cc 8 гэта PRON 10 nsubj 9 не PART 10 advmod 10 падзейнічала VERB 2 conj 11 , PUNCT 15 punct 12 тады ADV 15 advmod 13 ён PRON 15 nsubj 14 не PART 15 advmod 15 замарудзіў VERB 10 conj 16 злезці VERB 15 xcomp 17 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Праз колькі крокаў перад ім у цёмным небе высіўся адзінокі крыж раздарожжа.

Position Tokenization UPOS Head Deprel 1 Праз ADP 3 case 2 колькі NUM 3 nummod:gov 3 крокаў NOUN 9 obl 4 перад ADP 5 case 5 ім PRON 3 nmod 6 у ADP 8 case 7 цёмным ADJ 8 amod 8 небе NOUN 9 obl 9 высіўся VERB 0 root 10 адзінокі ADJ 11 amod 11 крыж NOUN 9 nsubj 12 раздарожжа NOUN 11 nmod 13 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Вузенькая дарожка дзялілася на дзве, і тыя, абышоўшы змрочнага «Ісуса», разыходзіліся ў розных напрамках.

Position Tokenization UPOS Head Deprel 1 Вузенькая ADJ 2 amod 2 дарожка NOUN 3 nsubj 3 дзялілася VERB 0 root 4 на ADP 5 case 5 дзве NUM 3 obl 6 , PUNCT 16 punct 7 і CCONJ 16 cc 8 тыя DET 16 nsubj 9 , PUNCT 10 punct 10 абышоўшы VERB 16 advcl 11 змрочнага ADJ 13 amod 12 « PUNCT 13 punct 13 Ісуса PROPN 10 obj 14 » PUNCT 13 punct 15 , PUNCT 10 punct 16 разыходзіліся VERB 3 conj 17 ў ADP 19 case 18 розных ADJ 19 amod 19 напрамках NOUN 16 obl 20 . PUNCT 3 punct