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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: Святлана Рыбакова падкрэсліла, што гэты прагноз з'яўляецца папярэднім.

Position Tokenization UPOS Head Deprel 1 Святлана PROPN 3 nsubj 2 Рыбакова PROPN 1 flat:name 3 падкрэсліла VERB 0 root 4 , PUNCT 8 punct 5 што SCONJ 8 mark 6 гэты DET 7 det 7 прагноз NOUN 8 nsubj 8 з'яўляецца VERB 3 ccomp 9 папярэднім ADJ 8 xcomp 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: Паводле статыстыкі, прагнозы сіноптыкаў на месяц ва ўсім свеце апраўдваюцца ў сярэднім на 65-75%.

Position Tokenization UPOS Head Deprel 1 Паводле ADP 2 case 2 статыстыкі NOUN 11 obl 3 , PUNCT 2 punct 4 прагнозы NOUN 11 nsubj 5 сіноптыкаў NOUN 4 nmod 6 на ADP 7 case 7 месяц NOUN 4 nmod 8 ва ADP 10 case 9 ўсім DET 10 det 10 свеце NOUN 4 nmod 11 апраўдваюцца VERB 0 root 12 ў ADP 13 case 13 сярэднім NOUN 11 obl 14 на ADP 18 case 15 65 NUM 18 nummod:gov 16 - PUNCT 17 punct 17 75 NUM 15 nmod 18 % SYM 11 obl 19 . 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: У першых датах красавіка, па словах прадстаўніка Белгідраметцэнтра, прагноз будзе ўдакладнены.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 першых ADJ 3 amod 3 датах NOUN 13 obl 4 красавіка NOUN 3 nmod 5 , PUNCT 7 punct 6 па ADP 7 case 7 словах NOUN 13 parataxis 8 прадстаўніка NOUN 7 nmod 9 Белгідраметцэнтра PROPN 8 nmod 10 , PUNCT 7 punct 11 прагноз NOUN 13 nsubj 12 будзе AUX 13 aux:pass 13 ўдакладнены VERB 0 root 14 . 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: Як адзначыла Святлана Рыбакова, у апошнія сем гадоў красавіка ў Беларусі было на адзін-тры градусы цяплей чым звычайна.

Position Tokenization UPOS Head Deprel 1 Як SCONJ 2 mark 2 адзначыла VERB 19 advcl 3 Святлана PROPN 2 nsubj 4 Рыбакова PROPN 3 flat:name 5 , PUNCT 2 punct 6 у ADP 9 case 7 апошнія ADJ 9 amod 8 сем NUM 9 nummod:gov 9 гадоў NOUN 19 obl 10 красавіка NOUN 9 nmod 11 ў ADP 12 case 12 Беларусі PROPN 19 obl 13 было AUX 19 cop 14 на ADP 18 case 15 адзін NUM 18 nummod 16 - PUNCT 17 punct 17 тры NUM 15 nmod 18 градусы NOUN 19 obl 19 цяплей ADJ 0 root 20 чым SCONJ 21 case 21 звычайна ADV 19 advmod 22 . PUNCT 19 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: Самы халодны красавік у Беларусі быў у 1955 годзе.

Position Tokenization UPOS Head Deprel 1 Самы ADJ 2 amod 2 халодны ADJ 3 amod 3 красавік NOUN 9 nsubj 4 у ADP 5 case 5 Беларусі PROPN 2 obl 6 быў AUX 9 cop 7 у ADP 9 case 8 1955 ADJ 9 amod 9 годзе NOUN 0 root 10 . 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: Тады сярэднямесячная тэмпература было ўсяго 2,5°С.

Position Tokenization UPOS Head Deprel 1 Тады ADV 7 advmod 2 сярэднямесячная ADJ 3 amod 3 тэмпература NOUN 7 nsubj 4 было AUX 7 cop 5 ўсяго PART 7 advmod 6 2,5 NUM 7 nummod:gov 7 °С SYM 0 root 8 . 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: Самы цёплы красавіка выдаўся ў 2000 годзе, калі сярэдняя тэмпература склала каля 11°С.

Position Tokenization UPOS Head Deprel 1 Самы ADJ 3 amod 2 цёплы ADJ 3 amod 3 красавіка NOUN 4 nsubj 4 выдаўся VERB 0 root 5 ў ADP 7 case 6 2000 ADJ 7 amod 7 годзе NOUN 4 obl 8 , PUNCT 12 punct 9 калі SCONJ 12 mark 10 сярэдняя ADJ 11 amod 11 тэмпература NOUN 12 nsubj 12 склала VERB 4 advcl 13 каля ADP 15 case 14 11 NUM 15 nummod 15 °С SYM 12 obj 16 . 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: Тэмпературныя рэкорды красавіка (30,7°С і -20,8°С) былі зафіксаваныя 22 красавіка 1950 у Брэсце і 5 красавіка 1956 года ў Езярышчы (Віцебская вобласць).

Position Tokenization UPOS Head Deprel 1 Тэмпературныя ADJ 2 amod 2 рэкорды NOUN 13 nsubj:pass 3 красавіка NOUN 2 nmod 4 ( PUNCT 6 punct 5 30,7 NUM 6 nummod:gov 6 °С SYM 2 parataxis 7 і CCONJ 10 cc 8 - SYM 9 advmod 9 20,8 NUM 10 nummod:gov 10 °С SYM 6 conj 11 ) PUNCT 6 punct 12 былі AUX 13 aux:pass 13 зафіксаваныя VERB 0 root 14 22 ADJ 13 obl 15 красавіка NOUN 14 flat 16 1950 ADJ 15 nmod 17 у ADP 18 case 18 Брэсце PROPN 13 obl 19 і CCONJ 20 cc 20 5 ADJ 14 conj 21 красавіка NOUN 20 flat 22 1956 ADJ 23 amod 23 года NOUN 21 nmod 24 ў ADP 25 case 25 Езярышчы PROPN 20 orphan 26 ( PUNCT 28 punct 27 Віцебская ADJ 28 amod 28 вобласць NOUN 25 parataxis 29 ) PUNCT 28 punct 30 . 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: Самым цёплым красавіцкім днём у Мінску было 22 красавіка 1950 г. (26°С), а самым халодным -- 1 красавіка 1923 г. (-18,4°С).

Position Tokenization UPOS Head Deprel 1 Самым ADJ 4 amod 2 цёплым ADJ 4 amod 3 красавіцкім ADJ 4 amod 4 днём NOUN 0 root 5 у ADP 6 case 6 Мінску PROPN 4 obl 7 было AUX 4 cop 8 22 ADJ 4 nsubj 9 красавіка NOUN 8 flat 10 1950 ADJ 11 amod 11 г. NOUN 9 nmod 12 ( PUNCT 14 punct 13 26 NUM 14 nummod:gov 14 °С SYM 4 parataxis 15 ) PUNCT 14 punct 16 , PUNCT 19 punct 17 а CCONJ 19 cc 18 самым ADJ 19 amod 19 халодным ADJ 4 conj 20 -- PUNCT 19 punct 21 1 ADJ 19 nsubj 22 красавіка NOUN 21 flat 23 1923 ADJ 24 amod 24 г. NOUN 22 nmod 25 ( PUNCT 28 punct 26 - SYM 27 advmod 27 18,4 NUM 28 nummod:gov 28 °С SYM 19 parataxis 29 ) PUNCT 28 punct 30 . 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: "Еўрабачанне-2012": Беларусь выступіць пятай у другім паўфінале

Position Tokenization UPOS Head Deprel 1 " PUNCT 2 punct 2 Еўрабачанне PROPN 0 root 3 - PUNCT 4 punct 4 2012 NUM 2 appos 5 " PUNCT 2 punct 6 : PUNCT 8 punct 7 Беларусь PROPN 8 nsubj 8 выступіць VERB 2 parataxis 9 пятай ADJ 8 obl 10 у ADP 12 case 11 другім ADJ 12 amod 12 паўфінале NOUN 8 obl

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: Беларусь у міжнародным конкурсе песні "Еўрабачанне-2012" выступіць 5-й у другім паўфінале, які пройдзе 24 мая ў Баку.

Position Tokenization UPOS Head Deprel 1 Беларусь PROPN 11 nsubj 2 у ADP 4 case 3 міжнародным ADJ 4 amod 4 конкурсе NOUN 11 obl 5 песні NOUN 4 nmod 6 " PUNCT 7 punct 7 Еўрабачанне PROPN 4 appos 8 - PUNCT 9 punct 9 2012 NUM 7 appos 10 " PUNCT 7 punct 11 выступіць VERB 0 root 12 5-й ADJ 11 obl 13 у ADP 15 case 14 другім ADJ 15 amod 15 паўфінале NOUN 12 obl 16 , PUNCT 18 punct 17 які PRON 18 nsubj 18 пройдзе VERB 15 acl:relcl 19 24 ADJ 18 obl 20 мая NOUN 19 flat 21 ў ADP 22 case 22 Баку PROPN 18 obl 23 . 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: Лёсаванне ўдзельнікаў конкурсу прайшла 20 сакавіка.

Position Tokenization UPOS Head Deprel 1 Лёсаванне NOUN 4 nsubj 2 ўдзельнікаў NOUN 1 nmod 3 конкурсу NOUN 2 nmod 4 прайшла VERB 0 root 5 20 ADJ 4 obl 6 сакавіка NOUN 5 flat 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: Разам з Беларуссю ў другім паўфінале выступяць таксама Сербія, Македонія, Нідэрланды, Мальта, Партугалія, Украіна, Балгарыя, Славенія, Харватыя, Швецыя, Грузія, Турцыя, Эстонія, Славакія, Нарвегія, Боснія і Герцагавіна, Літва.

Position Tokenization UPOS Head Deprel 1 Разам ADV 7 advmod 2 з ADP 3 case 3 Беларуссю PROPN 1 obl 4 ў ADP 6 case 5 другім ADJ 6 amod 6 паўфінале NOUN 7 obl 7 выступяць VERB 0 root 8 таксама ADV 7 advmod 9 Сербія PROPN 7 nsubj 10 , PUNCT 11 punct 11 Македонія PROPN 9 conj 12 , PUNCT 13 punct 13 Нідэрланды PROPN 9 conj 14 , PUNCT 15 punct 15 Мальта PROPN 9 conj 16 , PUNCT 17 punct 17 Партугалія PROPN 9 conj 18 , PUNCT 19 punct 19 Украіна PROPN 9 conj 20 , PUNCT 21 punct 21 Балгарыя PROPN 9 conj 22 , PUNCT 23 punct 23 Славенія PROPN 9 conj 24 , PUNCT 25 punct 25 Харватыя PROPN 9 conj 26 , PUNCT 27 punct 27 Швецыя PROPN 9 conj 28 , PUNCT 29 punct 29 Грузія PROPN 9 conj 30 , PUNCT 31 punct 31 Турцыя PROPN 9 conj 32 , PUNCT 33 punct 33 Эстонія PROPN 9 conj 34 , PUNCT 35 punct 35 Славакія PROPN 9 conj 36 , PUNCT 37 punct 37 Нарвегія PROPN 9 conj 38 , PUNCT 39 punct 39 Боснія PROPN 9 conj 40 і CCONJ 41 cc 41 Герцагавіна PROPN 39 conj 42 , PUNCT 43 punct 43 Літва PROPN 9 conj 44 . 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: У першым паўфінале, які пройдзе 22 траўня, выступяць (па-парадку): Чарнагорыя, Ісландыя, Грэцыя, Латвія, Албанія, Румынія, Швейцарыя, Бельгія, Фінляндыя, Ізраіль, Сан-Марына, Кіпр, Данія, Расія, Венгрыя, Аўстрыя, Малдова, Ірландыя.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 першым ADJ 3 amod 3 паўфінале NOUN 10 obl 4 , PUNCT 6 punct 5 які PRON 6 nsubj 6 пройдзе VERB 3 acl:relcl 7 22 ADJ 6 obl 8 траўня NOUN 7 flat 9 , PUNCT 6 punct 10 выступяць VERB 0 root 11 ( PUNCT 14 punct 12 па ADP 14 case 13 - PUNCT 14 punct 14 парадку NOUN 10 nmod 15 ) PUNCT 14 punct 16 : PUNCT 10 punct 17 Чарнагорыя PROPN 10 nsubj 18 , PUNCT 19 punct 19 Ісландыя PROPN 17 conj 20 , PUNCT 21 punct 21 Грэцыя PROPN 17 conj 22 , PUNCT 23 punct 23 Латвія PROPN 17 conj 24 , PUNCT 25 punct 25 Албанія PROPN 17 conj 26 , PUNCT 27 punct 27 Румынія PROPN 17 conj 28 , PUNCT 29 punct 29 Швейцарыя PROPN 17 conj 30 , PUNCT 31 punct 31 Бельгія PROPN 17 conj 32 , PUNCT 33 punct 33 Фінляндыя PROPN 17 conj 34 , PUNCT 35 punct 35 Ізраіль PROPN 17 conj 36 , PUNCT 37 punct 37 Сан-Марына PROPN 17 conj 38 , PUNCT 39 punct 39 Кіпр PROPN 17 conj 40 , PUNCT 41 punct 41 Данія PROPN 17 conj 42 , PUNCT 43 punct 43 Расія PROPN 17 conj 44 , PUNCT 45 punct 45 Венгрыя PROPN 17 conj 46 , PUNCT 47 punct 47 Аўстрыя PROPN 17 conj 48 , PUNCT 49 punct 49 Малдова PROPN 17 conj 50 , PUNCT 51 punct 51 Ірландыя PROPN 17 conj 52 . 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: Пераможца леташняга конкурсу Азербайджан і краіны "Вялікай пяцёркі" -- Францыя, Вялікабрытанія, Германія, Італія і Іспанія -- возьмуць удзел непасрэдна ў фінале конкурсу 26 траўня.

Position Tokenization UPOS Head Deprel 1 Пераможца NOUN 22 nsubj 2 леташняга ADJ 3 amod 3 конкурсу NOUN 1 nmod 4 Азербайджан PROPN 1 appos 5 і CCONJ 6 cc 6 краіны NOUN 1 conj 7 " PUNCT 9 punct 8 Вялікай ADJ 9 amod 9 пяцёркі NOUN 6 nmod 10 " PUNCT 9 punct 11 -- PUNCT 9 punct 12 Францыя PROPN 6 parataxis 13 , PUNCT 14 punct 14 Вялікабрытанія PROPN 12 conj 15 , PUNCT 16 punct 16 Германія PROPN 12 conj 17 , PUNCT 18 punct 18 Італія PROPN 12 conj 19 і CCONJ 20 cc 20 Іспанія PROPN 12 conj 21 -- PUNCT 20 punct 22 возьмуць VERB 0 root 23 удзел NOUN 22 obj 24 непасрэдна ADV 26 advmod 25 ў ADP 26 case 26 фінале NOUN 23 nmod 27 конкурсу NOUN 26 nmod 28 26 ADJ 26 nmod 29 траўня NOUN 28 flat 30 . PUNCT 22 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: Іспанія выступіць пад нумарам 19, Італія -- 10, Германія -- 20, Вялікабрытанія -- 1, Францыя -- 9.

Position Tokenization UPOS Head Deprel 1 Іспанія PROPN 2 nsubj 2 выступіць VERB 0 root 3 пад ADP 4 case 4 нумарам NOUN 2 obl 5 19 NUM 4 flat 6 , PUNCT 7 punct 7 Італія PROPN 2 conj 8 -- PUNCT 9 punct 9 10 NUM 7 orphan 10 , PUNCT 11 punct 11 Германія PROPN 2 conj 12 -- PUNCT 13 punct 13 20 NUM 11 orphan 14 , PUNCT 15 punct 15 Вялікабрытанія PROPN 2 conj 16 -- PUNCT 17 punct 17 1 NUM 15 orphan 18 , PUNCT 19 punct 19 Францыя PROPN 2 conj 20 -- PUNCT 21 punct 21 9 NUM 19 orphan 22 . 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: Як ужо перадаваў Тэлеграф, прадстаўляць Беларусь у песенным конкурсе будзе гурт Litesound.

Position Tokenization UPOS Head Deprel 1 Як SCONJ 3 mark 2 ужо ADV 3 advmod 3 перадаваў VERB 6 advcl 4 Тэлеграф PROPN 3 nsubj 5 , PUNCT 3 punct 6 прадстаўляць VERB 0 root 7 Беларусь PROPN 6 obj 8 у ADP 10 case 9 песенным ADJ 10 amod 10 конкурсе NOUN 6 obl 11 будзе AUX 6 aux 12 гурт NOUN 6 nsubj 13 Litesound X 12 appos 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: Меркавалася, што ад Беларусі на конкурс паедзе магіляўчанка Алена Ланская.

Position Tokenization UPOS Head Deprel 1 Меркавалася VERB 0 root 2 , PUNCT 8 punct 3 што SCONJ 8 mark 4 ад ADP 5 case 5 Беларусі PROPN 8 obl 6 на ADP 7 case 7 конкурс NOUN 8 obl 8 паедзе VERB 1 ccomp 9 магіляўчанка NOUN 8 nsubj 10 Алена PROPN 9 appos 11 Ланская PROPN 10 flat:name 12 . 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: Група Litesound ужо прыступіла да запісу песні "We Are The Heroes" ("Мы -- героі").

Position Tokenization UPOS Head Deprel 1 Група NOUN 4 nsubj 2 Litesound X 1 appos 3 ужо ADV 4 advmod 4 прыступіла VERB 0 root 5 да ADP 6 case 6 запісу NOUN 4 obl 7 песні NOUN 6 nmod 8 " PUNCT 9 punct 9 We X 7 appos 10 Are X 9 flat:foreign 11 The X 9 flat:foreign 12 Heroes X 9 flat:foreign 13 " PUNCT 9 punct 14 ( PUNCT 18 punct 15 " PUNCT 18 punct 16 Мы PRON 18 nsubj 17 -- PUNCT 18 punct 18 героі NOUN 9 parataxis 19 " PUNCT 18 punct 20 ) PUNCT 18 punct 21 . 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: Новую версію песні адмыслова для "Еўрабачання" запісваюць у студыі гукапісу Беларускага радыё Белтэлерадыёкампаніі.

Position Tokenization UPOS Head Deprel 1 Новую ADJ 2 amod 2 версію NOUN 9 obj 3 песні NOUN 2 nmod 4 адмыслова ADV 7 advmod 5 для ADP 7 case 6 " PUNCT 7 punct 7 Еўрабачання PROPN 9 obl 8 " PUNCT 7 punct 9 запісваюць VERB 0 root 10 у ADP 11 case 11 студыі NOUN 9 obl 12 гукапісу NOUN 11 nmod 13 Беларускага ADJ 14 amod 14 радыё NOUN 11 nmod 15 Белтэлерадыёкампаніі PROPN 14 nmod 16 . 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: Кансультантам запрошаны вядомы музычны прадзюсер і кампазітар з Грэцыі Дзімітрыс Кантопулас.

Position Tokenization UPOS Head Deprel 1 Кансультантам NOUN 2 xcomp 2 запрошаны VERB 0 root 3 вядомы ADJ 5 amod 4 музычны ADJ 5 amod 5 прадзюсер NOUN 1 nsubj 6 і CCONJ 7 cc 7 кампазітар NOUN 5 conj 8 з ADP 9 case 9 Грэцыі PROPN 5 nmod 10 Дзімітрыс PROPN 5 appos 11 Кантопулас PROPN 10 flat:name 12 . 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: ААН вінаваціць Беларусь у парушэнні міжнародных абавязацельстваў

Position Tokenization UPOS Head Deprel 1 ААН PROPN 2 nsubj 2 вінаваціць VERB 0 root 3 Беларусь PROPN 2 obj 4 у ADP 5 case 5 парушэнні NOUN 2 obl 6 міжнародных ADJ 7 amod 7 абавязацельстваў NOUN 5 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: Камітэт па правах чалавека ААН выказвае сур'ёзную заклапочанасць прыведзенымі ў выкананне смяротнымі прысудамі ў дачыненні да Дзмітрыя Канавалава і Уладзіслава Кавалёва.

Position Tokenization UPOS Head Deprel 1 Камітэт NOUN 6 nsubj 2 па ADP 3 case 3 правах NOUN 1 nmod 4 чалавека NOUN 3 nmod 5 ААН PROPN 1 nmod 6 выказвае VERB 0 root 7 сур'ёзную ADJ 8 amod 8 заклапочанасць NOUN 6 obj 9 прыведзенымі VERB 13 acl 10 ў ADP 11 case 11 выкананне NOUN 9 obl 12 смяротнымі ADJ 13 amod 13 прысудамі NOUN 8 nmod 14 ў ADP 17 case 15 дачыненні NOUN 14 fixed 16 да ADP 14 fixed 17 Дзмітрыя PROPN 13 nmod 18 Канавалава PROPN 17 flat:name 19 і CCONJ 20 cc 20 Уладзіслава PROPN 17 conj 21 Кавалёва PROPN 20 flat:name 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: Апошні падаў у камітэт скаргу, у якой заяўляў пра несумленны судовы разглядзе яго справы, а таксама пра ціск, які аказвала на яго следства.

Position Tokenization UPOS Head Deprel 1 Апошні ADJ 2 nsubj 2 падаў VERB 0 root 3 у ADP 4 case 4 камітэт NOUN 2 obl 5 скаргу NOUN 2 obj 6 , PUNCT 9 punct 7 у ADP 8 case 8 якой PRON 9 obl 9 заяўляў VERB 5 acl:relcl 10 пра ADP 13 case 11 несумленны ADJ 13 amod 12 судовы ADJ 13 amod 13 разглядзе NOUN 9 obl 14 яго DET 15 det 15 справы NOUN 13 nmod 16 , PUNCT 20 punct 17 а CCONJ 20 cc 18 таксама PART 17 fixed 19 пра ADP 20 case 20 ціск NOUN 13 conj 21 , PUNCT 23 punct 22 які PRON 23 obj 23 аказвала VERB 20 acl:relcl 24 на ADP 25 case 25 яго PRON 23 obl 26 следства NOUN 23 nsubj 27 . 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: Паколькі скарга Уладзіслава Кавалёва Камітэтам па правах чалавека ААН яшчэ не разглядалася, прывядзенне ў выкананне смяротнага пакарання з'яўляецца парушэннем Міжнароднага пакта аб грамадзянскіх і палітычных правах, ратыфікаванага Беларуссю.

Position Tokenization UPOS Head Deprel 1 Паколькі SCONJ 12 mark 2 скарга NOUN 12 nsubj:pass 3 Уладзіслава PROPN 2 nmod 4 Кавалёва PROPN 3 flat:name 5 Камітэтам NOUN 12 obl:agent 6 па ADP 7 case 7 правах NOUN 5 nmod 8 чалавека NOUN 7 nmod 9 ААН PROPN 5 nmod 10 яшчэ ADV 12 advmod 11 не PART 12 advmod 12 разглядалася VERB 19 advcl 13 , PUNCT 12 punct 14 прывядзенне NOUN 19 nsubj 15 ў ADP 16 case 16 выкананне NOUN 14 nmod 17 смяротнага ADJ 18 amod 18 пакарання NOUN 14 nmod 19 з'яўляецца VERB 0 root 20 парушэннем NOUN 19 xcomp 21 Міжнароднага ADJ 22 amod 22 пакта NOUN 20 nmod 23 аб ADP 27 case 24 грамадзянскіх ADJ 27 amod 25 і CCONJ 26 cc 26 палітычных ADJ 24 conj 27 правах NOUN 22 nmod 28 , PUNCT 29 punct 29 ратыфікаванага VERB 22 acl 30 Беларуссю PROPN 29 obl:agent 31 . PUNCT 19 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: "Пазіцыя Камітэта па правах чалавека з'яўляецца адназначнай -- Беларусь здзейсніла сур'ёзныя парушэнні сваіх юрыдычных абавязацельстваў, пакарання Уладзіслава Кавалёва", -- заявіла старшыня Камітэта Зонке Занэле Маёдзіна.

Position Tokenization UPOS Head Deprel 1 " PUNCT 7 punct 2 Пазіцыя NOUN 7 nsubj 3 Камітэта NOUN 2 nmod 4 па ADP 5 case 5 правах NOUN 3 nmod 6 чалавека NOUN 5 nmod 7 з'яўляецца VERB 0 root 8 адназначнай ADJ 7 xcomp 9 -- PUNCT 11 punct 10 Беларусь PROPN 11 nsubj 11 здзейсніла VERB 8 parataxis 12 сур'ёзныя ADJ 13 amod 13 парушэнні NOUN 11 obj 14 сваіх DET 16 det 15 юрыдычных ADJ 16 amod 16 абавязацельстваў NOUN 13 nmod 17 , PUNCT 18 punct 18 пакарання NOUN 11 advcl 19 Уладзіслава PROPN 18 obj 20 Кавалёва PROPN 19 flat:name 21 " PUNCT 7 punct 22 , PUNCT 24 punct 23 -- PUNCT 24 punct 24 заявіла VERB 7 parataxis 25 старшыня NOUN 24 nsubj 26 Камітэта NOUN 25 nmod 27 Зонке PROPN 25 appos 28 Занэле PROPN 27 flat:name 29 Маёдзіна PROPN 27 flat:name 30 . 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: У афіцыйнай заяве кіраўнік Камітэта звяртае ўвагу на тое, што падобныя парушэнні з боку беларускіх уладаў не з'яўляюцца адзінкавымі.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 афіцыйнай ADJ 3 amod 3 заяве NOUN 6 obl 4 кіраўнік NOUN 3 nsubj 5 Камітэта NOUN 4 nmod 6 звяртае VERB 0 root 7 ўвагу NOUN 6 obj 8 на ADP 9 case 9 тое PRON 7 obl 10 , PUNCT 19 punct 11 што SCONJ 19 mark 12 падобныя ADJ 13 amod 13 парушэнні NOUN 19 nsubj 14 з ADP 17 case 15 боку NOUN 14 fixed 16 беларускіх ADJ 17 amod 17 уладаў NOUN 13 nmod 18 не PART 19 advmod 19 з'яўляюцца VERB 9 acl 20 адзінкавымі ADJ 19 xcomp 21 . 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: Так, у 2010 і 2011 гадах таксама былі прыведзены ў выкананне смяротныя прысуды ў дачыненні да асоб, чые справы знаходзіліся на разглядзе Камітэта па правах чалавека ААН.

Position Tokenization UPOS Head Deprel 1 Так ADV 10 discourse 2 , PUNCT 1 punct 3 у ADP 7 case 4 2010 ADJ 7 amod 5 і CCONJ 6 cc 6 2011 ADJ 4 conj 7 гадах NOUN 10 obl 8 таксама ADV 10 advmod 9 былі AUX 10 aux:pass 10 прыведзены VERB 0 root 11 ў ADP 12 case 12 выкананне NOUN 10 obl 13 смяротныя ADJ 14 amod 14 прысуды NOUN 12 nsubj 15 ў ADP 18 case 16 дачыненні NOUN 15 fixed 17 да ADP 15 fixed 18 асоб NOUN 14 nmod 19 , PUNCT 22 punct 20 чые DET 21 det 21 справы NOUN 22 nsubj 22 знаходзіліся VERB 18 acl 23 на ADP 24 case 24 разглядзе NOUN 22 obl 25 Камітэта NOUN 24 nmod 26 па ADP 27 case 27 правах NOUN 25 nmod 28 чалавека NOUN 27 nmod 29 ААН PROPN 25 nmod 30 . 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: "Мы асуджаем гэтыя абуральныя парушэнні дамовы па правах чалавека з боку Беларусі.

Position Tokenization UPOS Head Deprel 1 " PUNCT 3 punct 2 Мы PRON 3 nsubj 3 асуджаем VERB 0 root 4 гэтыя DET 6 det 5 абуральныя ADJ 6 amod 6 парушэнні NOUN 3 obj 7 дамовы NOUN 6 nmod 8 па ADP 9 case 9 правах NOUN 7 nmod 10 чалавека NOUN 9 nmod 11 з ADP 13 case 12 боку NOUN 11 fixed 13 Беларусі PROPN 6 nmod 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: Камітэт папрасіў беларускія ўлады прыпыніць выкананне пакарання да разгляду справы.

Position Tokenization UPOS Head Deprel 1 Камітэт NOUN 2 nsubj 2 папрасіў VERB 0 root 3 беларускія ADJ 4 amod 4 ўлады NOUN 2 obj 5 прыпыніць VERB 2 xcomp 6 выкананне NOUN 5 obj 7 пакарання NOUN 6 nmod 8 да ADP 9 case 9 разгляду NOUN 5 obl 10 справы NOUN 9 nmod 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: Такія запыты з'яўляюцца абавязковымі з пункту гледжання міжнароднага права", -- адзначаюць у Камітэце.

Position Tokenization UPOS Head Deprel 1 Такія DET 2 det 2 запыты NOUN 3 nsubj 3 з'яўляюцца VERB 0 root 4 абавязковымі ADJ 3 xcomp 5 з ADP 9 case 6 пункту NOUN 5 fixed 7 гледжання NOUN 5 fixed 8 міжнароднага ADJ 9 amod 9 права NOUN 3 obl 10 " PUNCT 3 punct 11 , PUNCT 13 punct 12 -- PUNCT 13 punct 13 адзначаюць VERB 3 parataxis 14 у ADP 15 case 15 Камітэце NOUN 13 obl 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: Там таксама заявілі, што разгляд справы Уладзіслава Кавалёва будзе прадоўжаны, нягледзячы на прыведзены ў выкананне смяротны прысуд.

Position Tokenization UPOS Head Deprel 1 Там ADV 3 advmod 2 таксама ADV 3 advmod 3 заявілі VERB 0 root 4 , PUNCT 11 punct 5 што SCONJ 11 mark 6 разгляд NOUN 11 nsubj:pass 7 справы NOUN 6 nmod 8 Уладзіслава PROPN 7 nmod 9 Кавалёва PROPN 8 flat:name 10 будзе AUX 11 aux:pass 11 прадоўжаны VERB 3 ccomp 12 , PUNCT 13 punct 13 нягледзячы ADV 11 advmod 14 на ADP 19 case 15 прыведзены VERB 19 acl 16 ў ADP 17 case 17 выкананне NOUN 15 obl 18 смяротны ADJ 19 amod 19 прысуд NOUN 13 obl 20 . 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: Як раней перадаваў Тэлеграф, 17 сакавіка сваякі Уладзіслава Кавалёва атрымалі ліст з Вярхоўнага суда ад 16 сакавіка, у якім паведамлялася, што прысуд у дачыненні да яго прыведзены ў выкананне.

Position Tokenization UPOS Head Deprel 1 Як SCONJ 3 mark 2 раней ADV 3 advmod 3 перадаваў VERB 11 advcl 4 Тэлеграф PROPN 3 nsubj 5 , PUNCT 3 punct 6 17 ADJ 11 obl 7 сакавіка NOUN 6 flat 8 сваякі NOUN 11 nsubj 9 Уладзіслава PROPN 8 nmod 10 Кавалёва PROPN 9 flat:name 11 атрымалі VERB 0 root 12 ліст NOUN 11 obj 13 з ADP 15 case 14 Вярхоўнага ADJ 15 amod 15 суда NOUN 12 nmod 16 ад ADP 17 case 17 16 ADJ 12 nmod 18 сакавіка NOUN 17 flat 19 , PUNCT 22 punct 20 у ADP 21 case 21 якім PRON 22 obl 22 паведамлялася VERB 12 acl:relcl 23 , PUNCT 30 punct 24 што SCONJ 30 mark 25 прысуд NOUN 30 nsubj 26 у ADP 29 case 27 дачыненні NOUN 26 fixed 28 да ADP 26 fixed 29 яго PRON 25 nmod 30 прыведзены VERB 22 ccomp 31 ў ADP 32 case 32 выкананне NOUN 30 obl 33 . 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: Пазней з'явілася інфармацыя і аб пакаранні Дзмітрыя Канавалава.

Position Tokenization UPOS Head Deprel 1 Пазней ADV 2 advmod 2 з'явілася VERB 0 root 3 інфармацыя NOUN 2 nsubj 4 і PART 6 advmod 5 аб ADP 6 case 6 пакаранні NOUN 3 nmod 7 Дзмітрыя PROPN 6 nmod 8 Канавалава PROPN 7 flat:name 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: Згодна з беларускім заканадаўствам, сваякам пакараных не выдаюць цела і не паведамляюць месца іх пахавання.

Position Tokenization UPOS Head Deprel 1 Згодна ADP 4 case 2 з ADP 1 fixed 3 беларускім ADJ 4 amod 4 заканадаўствам NOUN 9 obl 5 , PUNCT 4 punct 6 сваякам NOUN 9 iobj 7 пакараных VERB 6 nmod 8 не PART 9 advmod 9 выдаюць VERB 0 root 10 цела NOUN 9 obj 11 і CCONJ 13 cc 12 не PART 13 advmod 13 паведамляюць VERB 9 conj 14 месца NOUN 13 obj 15 іх DET 16 det 16 пахавання NOUN 14 nmod 17 . 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: Нягледзячы на гэта, Хельсінкскі фонд па правах чалавека ў Польшчы, асудзілі разам з іншымі міжнароднымі арганізацыямі гэтае смяротнае пакаранне і заклікалі беларускія ўлады выдаць цела Уладзіслава Кавалёва і Дзмітрыя Канавалава.

Position Tokenization UPOS Head Deprel 1 Нягледзячы ADV 3 case 2 на ADP 1 fixed 3 гэта PRON 23 obl 4 , PUNCT 3 punct 5 Хельсінкскі ADJ 6 amod 6 фонд NOUN 23 nsubj 7 па ADP 8 case 8 правах NOUN 6 nmod 9 чалавека NOUN 8 nmod 10 ў ADP 11 case 11 Польшчы PROPN 8 nmod 12 , PUNCT 13 punct 13 асудзілі VERB 0 root 14 разам ADV 13 advmod 15 з ADP 18 case 16 іншымі ADJ 18 amod 17 міжнароднымі ADJ 18 amod 18 арганізацыямі NOUN 14 obl 19 гэтае DET 21 det 20 смяротнае ADJ 21 amod 21 пакаранне NOUN 13 obj 22 і CCONJ 23 cc 23 заклікалі VERB 13 conj 24 беларускія ADJ 25 amod 25 ўлады NOUN 23 obj 26 выдаць VERB 23 xcomp 27 цела NOUN 26 obj 28 Уладзіслава PROPN 27 nmod 29 Кавалёва PROPN 28 flat:name 30 і CCONJ 31 cc 31 Дзмітрыя PROPN 28 conj 32 Канавалава PROPN 31 flat:name 33 . 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: Акрамя таго, фонд заклікае Беларусь неадкладна ўвесці мараторый на смяротнае пакаранне.

Position Tokenization UPOS Head Deprel 1 Акрамя ADP 2 case 2 таго PRON 5 parataxis 3 , PUNCT 2 punct 4 фонд NOUN 2 nsubj 5 заклікае VERB 0 root 6 Беларусь PROPN 5 obj 7 неадкладна ADV 8 advmod 8 ўвесці VERB 5 xcomp 9 мараторый NOUN 8 obj 10 на ADP 12 case 11 смяротнае ADJ 12 amod 12 пакаранне NOUN 9 nmod 13 . 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: На Віцебшчыне вецер здзьмуў частку дома

Position Tokenization UPOS Head Deprel 1 На ADP 2 case 2 Віцебшчыне PROPN 4 obl 3 вецер NOUN 4 nsubj 4 здзьмуў VERB 0 root 5 частку NOUN 4 obj 6 дома NOUN 5 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: У Верхнядзвінскім раёне Віцебскай вобласці ў вёсцы Бароўка 19 сакавіка каля 20:55 моцны вецер абрынуў частка жылога дома.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 Верхнядзвінскім ADJ 3 amod 3 раёне NOUN 15 obl 4 Віцебскай ADJ 5 amod 5 вобласці NOUN 3 nmod 6 ў ADP 7 case 7 вёсцы NOUN 15 obl 8 Бароўка PROPN 7 appos 9 19 ADJ 15 obl 10 сакавіка NOUN 9 flat 11 каля ADP 12 case 12 20:55 NUM 15 obl 13 моцны ADJ 14 amod 14 вецер NOUN 15 nsubj 15 абрынуў VERB 0 root 16 частка NOUN 15 obj 17 жылога ADJ 18 amod 18 дома NOUN 16 nmod 19 . PUNCT 15 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: Цагляны франтон пры падзенні пашкодзіў столь у двух пакоях.

Position Tokenization UPOS Head Deprel 1 Цагляны ADJ 2 amod 2 франтон NOUN 5 nsubj 3 пры ADP 4 case 4 падзенні NOUN 2 obl 5 пашкодзіў VERB 0 root 6 столь NOUN 5 obj 7 у ADP 9 case 8 двух NUM 9 nummod 9 пакоях NOUN 6 nmod 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: Гаспадыня дома 1958 года нараджэння і яе 79-гадовы бацька не пацярпелі.

Position Tokenization UPOS Head Deprel 1 Гаспадыня NOUN 11 nsubj 2 дома NOUN 1 nmod 3 1958 ADJ 4 amod 4 года NOUN 1 nmod 5 нараджэння NOUN 4 nmod 6 і CCONJ 9 cc 7 яе DET 9 det 8 79-гадовы ADJ 9 amod 9 бацька NOUN 1 conj 10 не PART 11 advmod 11 пацярпелі VERB 0 root 12 . 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: Супрацоўнікі МНС ачысцілі гарышча ад цэглы.

Position Tokenization UPOS Head Deprel 1 Супрацоўнікі NOUN 3 nsubj 2 МНС PROPN 1 nmod 3 ачысцілі VERB 0 root 4 гарышча NOUN 3 obj 5 ад ADP 6 case 6 цэглы NOUN 3 obl 7 . 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: Агульная плошча абвалу -- 10 квадратных метраў, ацяпленне і электразабеспячэнне хаты не былі парушаныя, паведамілі ў Віцебскім абласным упраўленні МНС.

Position Tokenization UPOS Head Deprel 1 Агульная ADJ 2 amod 2 плошча NOUN 7 nsubj 3 абвалу NOUN 2 nmod 4 -- PUNCT 7 punct 5 10 NUM 7 nummod:gov 6 квадратных ADJ 7 amod 7 метраў NOUN 0 root 8 , PUNCT 15 punct 9 ацяпленне NOUN 15 nsubj 10 і CCONJ 11 cc 11 электразабеспячэнне NOUN 9 conj 12 хаты NOUN 11 nmod 13 не PART 15 advmod 14 былі AUX 15 aux:pass 15 парушаныя VERB 7 conj 16 , PUNCT 17 punct 17 паведамілі VERB 7 parataxis 18 ў ADP 21 case 19 Віцебскім ADJ 21 amod 20 абласным ADJ 21 amod 21 упраўленні NOUN 17 obl 22 МНС PROPN 21 nmod 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: Як перадаваў Тэлеграф, паводле аператыўных дадзеных МНС Беларусі, 19 сакавіка ад парываў ветру сілай да 26 м/с пацярпелі 7 населеных пунктаў у Віцебскай, Гродзенскай і Мінскай абласцях.

Position Tokenization UPOS Head Deprel 1 Як SCONJ 2 mark 2 перадаваў VERB 22 advcl 3 Тэлеграф PROPN 2 nsubj 4 , PUNCT 2 punct 5 паводле ADP 7 case 6 аператыўных ADJ 7 amod 7 дадзеных NOUN 22 obl 8 МНС PROPN 7 nmod 9 Беларусі PROPN 8 nmod 10 , PUNCT 7 punct 11 19 ADJ 22 obl 12 сакавіка NOUN 11 flat 13 ад ADP 14 case 14 парываў NOUN 22 obl 15 ветру NOUN 14 nmod 16 сілай NOUN 14 nmod 17 да ADP 19 case 18 26 NUM 19 nummod 19 м NOUN 16 nmod 20 / PUNCT 21 punct 21 с NOUN 19 nmod 22 пацярпелі VERB 0 root 23 7 NUM 25 nummod:gov 24 населеных ADJ 25 amod 25 пунктаў NOUN 22 nsubj 26 у ADP 32 case 27 Віцебскай ADJ 32 amod 28 , PUNCT 29 punct 29 Гродзенскай ADJ 27 conj 30 і CCONJ 31 cc 31 Мінскай ADJ 27 conj 32 абласцях NOUN 25 nmod 33 . PUNCT 22 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: Пашкоджаны дахі двух жылых дамоў, аднаго вытворчага будынка і пяці сельскохозпостроек.

Position Tokenization UPOS Head Deprel 1 Пашкоджаны VERB 0 root 2 дахі NOUN 1 nsubj 3 двух NUM 5 nummod 4 жылых ADJ 5 amod 5 дамоў NOUN 2 nmod 6 , PUNCT 9 punct 7 аднаго NUM 9 nummod 8 вытворчага ADJ 9 amod 9 будынка NOUN 5 conj 10 і CCONJ 12 cc 11 пяці NUM 12 nummod 12 сельскохозпостроек NOUN 5 conj 13 . 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: 245 населеных пунктаў засталіся без электраэнергіі.

Position Tokenization UPOS Head Deprel 1 245 NUM 3 nummod:gov 2 населеных ADJ 3 amod 3 пунктаў NOUN 4 nsubj 4 засталіся VERB 0 root 5 без ADP 6 case 6 электраэнергіі NOUN 4 obl 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: Гродзенскі КДБ убачыў у дзейнасці "МММ" піраміду ў пірамідзе

Position Tokenization UPOS Head Deprel 1 Гродзенскі ADJ 2 amod 2 КДБ PROPN 3 nsubj 3 убачыў VERB 0 root 4 у ADP 5 case 5 дзейнасці NOUN 3 obl 6 " PUNCT 7 punct 7 МММ PROPN 5 nmod 8 " PUNCT 7 punct 9 піраміду NOUN 3 obj 10 ў ADP 11 case 11 пірамідзе NOUN 9 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: Упраўленне КДБ па Гродзенскай вобласці ўгледзела ў дзейнасці гродзенскіх структур "МММ-2011" схемы "піраміда ў пірамідзе".

Position Tokenization UPOS Head Deprel 1 Упраўленне NOUN 6 nsubj 2 КДБ PROPN 1 nmod 3 па ADP 5 case 4 Гродзенскай ADJ 5 amod 5 вобласці NOUN 2 nmod 6 ўгледзела VERB 0 root 7 ў ADP 8 case 8 дзейнасці NOUN 6 obl 9 гродзенскіх ADJ 10 amod 10 структур NOUN 8 nmod 11 " PUNCT 12 punct 12 МММ PROPN 10 nmod 13 - PUNCT 14 punct 14 2011 NUM 12 appos 15 " PUNCT 12 punct 16 схемы NOUN 6 obj 17 " PUNCT 18 punct 18 піраміда NOUN 16 appos 19 ў ADP 20 case 20 пірамідзе NOUN 18 nmod 21 " PUNCT 18 punct 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: Так, кіраўнікі рэгіянальных ячэек пры рэгістрацыі ўдзельнікаў структуры падманвалі і вышэйстаячых кіраўнікоў за мяжой.

Position Tokenization UPOS Head Deprel 1 Так ADV 10 discourse 2 , PUNCT 1 punct 3 кіраўнікі NOUN 10 nsubj 4 рэгіянальных ADJ 5 amod 5 ячэек NOUN 3 nmod 6 пры ADP 7 case 7 рэгістрацыі NOUN 10 obl 8 ўдзельнікаў NOUN 7 nmod 9 структуры NOUN 8 nmod 10 падманвалі VERB 0 root 11 і PART 13 advmod 12 вышэйстаячых ADJ 13 amod 13 кіраўнікоў NOUN 10 obj 14 за ADP 15 case 15 мяжой NOUN 13 nmod 16 . 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: Прыцягваючы ў структуру двух-трох людзей, якія ўносілі грошы, яны прыпісвалі дзясяткі мёртвых душ, прысвойваючы сабе налічаныя на гэтых людзей працэнты.

Position Tokenization UPOS Head Deprel 1 Прыцягваючы VERB 14 advcl 2 ў ADP 3 case 3 структуру NOUN 1 obl 4 двух NUM 7 nummod 5 - PUNCT 6 punct 6 трох NUM 4 nmod 7 людзей NOUN 1 obj 8 , PUNCT 10 punct 9 якія PRON 10 nsubj 10 ўносілі VERB 7 acl:relcl 11 грошы NOUN 10 obj 12 , PUNCT 1 punct 13 яны PRON 14 nsubj 14 прыпісвалі VERB 0 root 15 дзясяткі NOUN 14 obj 16 мёртвых ADJ 17 amod 17 душ NOUN 15 nmod 18 , PUNCT 19 punct 19 прысвойваючы VERB 14 advcl 20 сабе PRON 19 iobj 21 налічаныя VERB 25 acl 22 на ADP 24 case 23 гэтых DET 24 det 24 людзей NOUN 21 obl 25 працэнты NOUN 19 obj 26 . PUNCT 14 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: Усяго з 16 сакавіка УКДБ па Гродзенскай вобласці выявіла каля 30 грамадзян, якія маюць дачыненне да дзейнасці фінансавай піраміды "МММ-2011".

Position Tokenization UPOS Head Deprel 1 Усяго PART 9 advmod 2 з ADP 3 case 3 16 ADJ 9 obl 4 сакавіка NOUN 3 flat 5 УКДБ PROPN 9 nsubj 6 па ADP 8 case 7 Гродзенскай ADJ 8 amod 8 вобласці NOUN 5 nmod 9 выявіла VERB 0 root 10 каля ADP 12 case 11 30 NUM 12 nummod 12 грамадзян NOUN 9 obj 13 , PUNCT 15 punct 14 якія PRON 15 nsubj 15 маюць VERB 12 acl:relcl 16 дачыненне NOUN 15 obj 17 да ADP 18 case 18 дзейнасці NOUN 16 obl 19 фінансавай ADJ 20 amod 20 піраміды NOUN 18 nmod 21 " PUNCT 22 punct 22 МММ PROPN 20 appos 23 - PUNCT 24 punct 24 2011 NUM 22 appos 25 " PUNCT 22 punct 26 . 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: У ходзе допытаў кіраўнікоў ячэек выявіліся факты, якія пацвярджаюць супрацьпраўны характар дзеянняў з боку замежных арганізатараў піраміды, перадае БелТА.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 ходзе NOUN 1 fixed 3 допытаў NOUN 6 obl 4 кіраўнікоў NOUN 3 nmod 5 ячэек NOUN 4 nmod 6 выявіліся VERB 0 root 7 факты NOUN 6 nsubj 8 , PUNCT 9 punct 9 якія PRON 10 nsubj 10 пацвярджаюць VERB 7 acl:relcl 11 супрацьпраўны ADJ 12 amod 12 характар NOUN 10 obj 13 дзеянняў NOUN 12 obl 14 з ADP 17 case 15 боку NOUN 14 fixed 16 замежных ADJ 17 amod 17 арганізатараў NOUN 13 nmod 18 піраміды NOUN 17 nmod 19 , PUNCT 20 punct 20 перадае VERB 6 parataxis 21 БелТА PROPN 20 nsubj 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: Па паведамленні УКДБ, у асноўным у галіне ўкладчыкі ўносілі ў набыццё акцый сумы да 10 тыс. даляраў.

Position Tokenization UPOS Head Deprel 1 Па ADP 2 case 2 паведамленні NOUN 10 obl 3 УКДБ PROPN 2 nmod 4 , PUNCT 2 punct 5 у ADP 6 case 6 асноўным NOUN 10 obl 7 у ADP 8 case 8 галіне NOUN 10 obl 9 ўкладчыкі NOUN 8 nsubj 10 ўносілі VERB 0 root 11 ў ADP 12 case 12 набыццё NOUN 10 obl 13 акцый NOUN 12 nmod 14 сумы NOUN 10 obj 15 да ADP 18 case 16 10 NUM 17 compound 17 тыс. NOUN 18 nummod 18 даляраў NOUN 14 nmod 19 . 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: Аднак, жыхарка Гродна прадала кватэру, каб не пазбавіцца ўкладзеных раней сродкаў і ўнесці ў набыццё акцый структуры абумоўленую суму (некалькі дзясяткаў тысяч даляраў).

Position Tokenization UPOS Head Deprel 1 Аднак CCONJ 5 cc 2 , PUNCT 5 punct 3 жыхарка NOUN 5 nsubj 4 Гродна PROPN 3 nmod 5 прадала VERB 0 root 6 кватэру NOUN 5 obj 7 , PUNCT 10 punct 8 каб SCONJ 10 mark 9 не PART 10 advmod 10 пазбавіцца VERB 5 advcl 11 ўкладзеных VERB 13 acl 12 раней ADV 11 advmod 13 сродкаў NOUN 10 obj 14 і CCONJ 15 cc 15 ўнесці VERB 10 conj 16 ў ADP 17 case 17 набыццё NOUN 15 obl 18 акцый NOUN 17 nmod 19 структуры NOUN 18 nmod 20 абумоўленую VERB 21 amod 21 суму NOUN 15 obj 22 ( PUNCT 24 punct 23 некалькі NUM 26 compound 24 дзясяткаў NOUN 21 parataxis 25 тысяч NOUN 26 nummod 26 даляраў NOUN 24 nmod 27 ) PUNCT 24 punct 28 . 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: Па даручэнні прадстаўніка рэгіянальнай ячэйкі, які атрымаў указанне ад вышэйстаячага кіраўніка з-за мяжы, жанчына перавяла гэтую суму за мяжу.

Position Tokenization UPOS Head Deprel 1 Па ADP 2 case 2 даручэнні NOUN 17 obl 3 прадстаўніка NOUN 2 nmod 4 рэгіянальнай ADJ 5 amod 5 ячэйкі NOUN 3 nmod 6 , PUNCT 8 punct 7 які PRON 8 nsubj 8 атрымаў VERB 3 acl:relcl 9 указанне NOUN 8 obj 10 ад ADP 12 case 11 вышэйстаячага ADJ 12 amod 12 кіраўніка NOUN 8 obl 13 з-за ADP 14 case 14 мяжы NOUN 8 obl 15 , PUNCT 8 punct 16 жанчына NOUN 17 nsubj 17 перавяла VERB 0 root 18 гэтую DET 19 det 19 суму NOUN 17 obj 20 за ADP 21 case 21 мяжу NOUN 17 obl 22 . PUNCT 17 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 выніку гэтага яна засталася без кватэры.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 выніку NOUN 5 obl 3 гэтага PRON 2 nmod 4 яна PRON 5 nsubj 5 засталася VERB 0 root 6 без ADP 7 case 7 кватэры NOUN 5 obl 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: Па дадзеных следства, з пачатку правядзення ў Беларусі спецаперацыі ў прадстаўніцтва "МММ-2011" у Гродне паступала мноства званкоў з-за мяжы з даручэннем тэрмінова перавесці сродкі з рахункаў у іншыя краіны СНД.

Position Tokenization UPOS Head Deprel 1 Па ADP 2 case 2 дадзеных NOUN 20 obl 3 следства NOUN 2 nmod 4 , PUNCT 2 punct 5 з ADP 6 case 6 пачатку NOUN 2 obl 7 правядзення NOUN 6 nmod 8 ў ADP 9 case 9 Беларусі PROPN 7 nmod 10 спецаперацыі NOUN 7 nmod 11 ў ADP 12 case 12 прадстаўніцтва NOUN 20 obl 13 " PUNCT 14 punct 14 МММ PROPN 12 nmod 15 - PUNCT 16 punct 16 2011 NUM 14 appos 17 " PUNCT 14 punct 18 у ADP 19 case 19 Гродне PROPN 12 nmod 20 паступала VERB 0 root 21 мноства NOUN 20 nsubj 22 званкоў NOUN 21 nmod 23 з-за ADP 24 case 24 мяжы NOUN 22 nmod 25 з ADP 26 case 26 даручэннем NOUN 22 nmod 27 тэрмінова ADV 28 advmod 28 перавесці VERB 26 nmod 29 сродкі NOUN 28 obj 30 з ADP 31 case 31 рахункаў NOUN 28 obl 32 у ADP 34 case 33 іншыя ADJ 34 amod 34 краіны NOUN 28 obl 35 СНД PROPN 34 nmod 36 . PUNCT 20 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 сваю чаргу супрацоўнікі УКДБ па Віцебскай вобласці ў ходзе праведзенай спецаперацыі канфіскавалі больш за 3,5 тыс. буклетаў, каля 7,5 тыс. налепак з лагатыпам гэтай кампаніі, кампутары, ноўтбукі, аргтэхніку і электронныя носьбіты.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 сваю DET 3 det 3 чаргу NOUN 13 obl 4 супрацоўнікі NOUN 3 nsubj 5 УКДБ PROPN 4 nmod 6 па ADP 8 case 7 Віцебскай ADJ 8 amod 8 вобласці NOUN 5 nmod 9 ў ADP 12 case 10 ходзе NOUN 9 fixed 11 праведзенай VERB 12 amod 12 спецаперацыі NOUN 13 obl 13 канфіскавалі VERB 0 root 14 больш ADV 17 advmod 15 за ADP 14 fixed 16 3,5 NUM 17 nummod:gov 17 тыс. NOUN 18 nummod:gov 18 буклетаў NOUN 13 obj 19 , PUNCT 23 punct 20 каля ADP 23 case 21 7,5 NUM 22 nummod 22 тыс. NOUN 23 nummod:gov 23 налепак NOUN 18 conj 24 з ADP 25 case 25 лагатыпам NOUN 23 nmod 26 гэтай DET 27 det 27 кампаніі NOUN 25 nmod 28 , PUNCT 29 punct 29 кампутары NOUN 18 conj 30 , PUNCT 31 punct 31 ноўтбукі NOUN 18 conj 32 , PUNCT 33 punct 33 аргтэхніку NOUN 18 conj 34 і CCONJ 36 cc 35 электронныя ADJ 36 amod 36 носьбіты NOUN 18 conj 37 . 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: У дадзены момант у Беларусі ідуць следчыя мерапрыемствы, накіраваныя на ўсталяванне асоб, якія маюць дачыненне да дзейнасці фінансавай піраміды, праводзяцца апытанні найбольш актыўных яе ўдзельнікаў, правяраюцца банкаўскія рахункі, куды пералічваліся грошы.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 дадзены ADJ 3 amod 3 момант NOUN 6 obl 4 у ADP 5 case 5 Беларусі PROPN 3 obl 6 ідуць VERB 0 root 7 следчыя ADJ 8 amod 8 мерапрыемствы NOUN 6 nsubj 9 , PUNCT 10 punct 10 накіраваныя VERB 8 acl 11 на ADP 12 case 12 ўсталяванне NOUN 10 obl 13 асоб NOUN 12 nmod 14 , PUNCT 16 punct 15 якія PRON 16 nsubj 16 маюць VERB 13 acl:relcl 17 дачыненне NOUN 16 obj 18 да ADP 17 case 19 дзейнасці NOUN 17 nmod 20 фінансавай ADJ 21 amod 21 піраміды NOUN 19 nmod 22 , PUNCT 23 punct 23 праводзяцца VERB 6 conj 24 апытанні NOUN 23 nsubj 25 найбольш ADV 26 advmod 26 актыўных ADJ 28 amod 27 яе DET 28 det 28 ўдзельнікаў NOUN 24 nmod 29 , PUNCT 30 punct 30 правяраюцца VERB 6 conj 31 банкаўскія ADJ 32 amod 32 рахункі NOUN 30 nsubj 33 , PUNCT 35 punct 34 куды ADV 35 advmod 35 пералічваліся VERB 32 acl 36 грошы NOUN 35 nsubj 37 . 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: Як паведамляў Тэлеграф, КДБ спыніў дзейнасць беларускага аддзялення новай фінансавай піраміды Сяргея Маўродзі "МММ-2011".

Position Tokenization UPOS Head Deprel 1 Як SCONJ 2 mark 2 паведамляў VERB 6 advcl 3 Тэлеграф PROPN 2 nsubj 4 , PUNCT 2 punct 5 КДБ PROPN 6 nsubj 6 спыніў VERB 0 root 7 дзейнасць NOUN 6 obj 8 беларускага ADJ 9 amod 9 аддзялення NOUN 7 nmod 10 новай ADJ 12 amod 11 фінансавай ADJ 12 amod 12 піраміды NOUN 9 nmod 13 Сяргея PROPN 12 nmod 14 Маўродзі PROPN 13 flat:name 15 " PUNCT 16 punct 16 МММ PROPN 12 appos 17 - PUNCT 18 punct 18 2011 NUM 16 appos 19 " PUNCT 16 punct 20 . 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: Арыштаваныя супрацоўнікі офіса МММ, якім ставіцца ў віну "ажыццяўленне незаконных фінансавых аперацый і завалоданне грашовымі сродкамі беларускіх грамадзян шляхам падману".

Position Tokenization UPOS Head Deprel 1 Арыштаваныя VERB 0 root 2 супрацоўнікі NOUN 1 nsubj 3 офіса NOUN 2 nmod 4 МММ PROPN 3 nmod 5 , PUNCT 7 punct 6 якім PRON 7 iobj 7 ставіцца VERB 2 acl:relcl 8 ў ADP 9 case 9 віну NOUN 7 obl 10 " PUNCT 11 punct 11 ажыццяўленне NOUN 7 nsubj 12 незаконных ADJ 14 amod 13 фінансавых ADJ 14 amod 14 аперацый NOUN 11 nmod 15 і CCONJ 16 cc 16 завалоданне NOUN 11 conj 17 грашовымі ADJ 18 amod 18 сродкамі NOUN 16 nmod 19 беларускіх ADJ 20 amod 20 грамадзян NOUN 18 nmod 21 шляхам ADP 22 case 22 падману NOUN 16 nmod 23 " PUNCT 11 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: Урад абяцае прамыслоўцам сярэднюю зарплату ў 500 даляраў

Position Tokenization UPOS Head Deprel 1 Урад NOUN 2 nsubj 2 абяцае VERB 0 root 3 прамыслоўцам NOUN 2 iobj 4 сярэднюю ADJ 5 amod 5 зарплату NOUN 2 obj 6 ў ADP 8 case 7 500 NUM 8 nummod:gov 8 даляраў NOUN 5 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: У 2012 годзе сярэдняя зарплата на прадпрыемствах беларускай прамысловасці складзе каля 500 даляраў у эквіваленце.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 2012 ADJ 3 amod 3 годзе NOUN 10 obl 4 сярэдняя ADJ 5 amod 5 зарплата NOUN 10 nsubj 6 на ADP 7 case 7 прадпрыемствах NOUN 5 nmod 8 беларускай ADJ 9 amod 9 прамысловасці NOUN 7 nmod 10 складзе VERB 0 root 11 каля ADP 13 case 12 500 NUM 13 nummod 13 даляраў NOUN 10 obl 14 у ADP 15 case 15 эквіваленце NOUN 10 obl 16 . 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: Пра гэта 21 сакавіка заявіў першы віцэ-прэм'ер Беларусі Уладзімір Сямашка.

Position Tokenization UPOS Head Deprel 1 Пра ADP 2 case 2 гэта PRON 5 obl 3 21 ADJ 5 obl 4 сакавіка NOUN 3 flat 5 заявіў VERB 0 root 6 першы ADJ 7 amod 7 віцэ-прэм'ер NOUN 5 nsubj 8 Беларусі PROPN 5 nmod 9 Уладзімір PROPN 7 appos 10 Сямашка PROPN 9 flat:name 11 . 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: Ён растлумачыў, што гэта не азначае, што ўсе работнікі будуць атрымліваць менавіта гэтую суму.

Position Tokenization UPOS Head Deprel 1 Ён PRON 2 nsubj 2 растлумачыў VERB 0 root 3 , PUNCT 7 punct 4 што SCONJ 7 mark 5 гэта PRON 7 nsubj 6 не PART 7 advmod 7 азначае VERB 2 ccomp 8 , PUNCT 13 punct 9 што SCONJ 13 mark 10 ўсе DET 11 det 11 работнікі NOUN 13 nsubj 12 будуць AUX 13 aux 13 атрымліваць VERB 7 ccomp 14 менавіта PART 15 advmod 15 гэтую DET 16 det 16 суму NOUN 13 obj 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: Больш за тое, ужо сёння, па словах віцэ-прэм'ера, на некаторых прадпрыемствах заробак перавышае 500 даляраў.

Position Tokenization UPOS Head Deprel 1 Больш ADV 16 parataxis 2 за ADP 1 fixed 3 тое PRON 1 obl 4 , PUNCT 1 punct 5 ужо ADV 6 advmod 6 сёння ADV 16 advmod 7 , PUNCT 9 punct 8 па ADP 9 case 9 словах NOUN 16 parataxis 10 віцэ-прэм'ера NOUN 9 nmod 11 , PUNCT 9 punct 12 на ADP 14 case 13 некаторых DET 14 det 14 прадпрыемствах NOUN 16 obl 15 заробак NOUN 16 nsubj 16 перавышае VERB 0 root 17 500 NUM 18 nummod:gov 18 даляраў NOUN 16 obj 19 . PUNCT 16 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: "Мы вельмі акуратна будзем падымаць заробак, каб ён не апярэджваў паказчык прадукцыйнасці працы", -- цытуе віцэ-прэм'ера БелТА.

Position Tokenization UPOS Head Deprel 1 " PUNCT 6 punct 2 Мы PRON 6 nsubj 3 вельмі ADV 4 advmod 4 акуратна ADV 6 advmod 5 будзем AUX 6 aux 6 падымаць VERB 0 root 7 заробак NOUN 6 obj 8 , PUNCT 12 punct 9 каб SCONJ 12 mark 10 ён PRON 12 nsubj 11 не PART 12 advmod 12 апярэджваў VERB 6 advcl 13 паказчык NOUN 12 obj 14 прадукцыйнасці NOUN 13 nmod 15 працы NOUN 14 nmod 16 " PUNCT 6 punct 17 , PUNCT 19 punct 18 -- PUNCT 19 punct 19 цытуе VERB 6 parataxis 20 віцэ-прэм'ера NOUN 19 obj 21 БелТА PROPN 19 nsubj 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: Уладзімір Сямашка адзначыў, што шэраг эканамічных паказчыкаў сведчыць аб тым, што крызіс у Беларусі скончыўся.

Position Tokenization UPOS Head Deprel 1 Уладзімір PROPN 3 nsubj 2 Сямашка PROPN 1 flat:name 3 адзначыў VERB 0 root 4 , PUNCT 9 punct 5 што SCONJ 9 mark 6 шэраг NOUN 9 nsubj 7 эканамічных ADJ 8 amod 8 паказчыкаў NOUN 6 nmod 9 сведчыць VERB 3 ccomp 10 аб ADP 11 case 11 тым PRON 9 obl 12 , PUNCT 17 punct 13 што SCONJ 17 mark 14 крызіс NOUN 17 nsubj 15 у ADP 16 case 16 Беларусі PROPN 17 obl 17 скончыўся VERB 11 acl 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: У якасці прыкладу віцэ-прэм'ер прывёў дадатнае сальда знешняга гандлю, рост дэпазітаў фізічных асоб, зніжэнне тэмпаў інфляцыі.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 якасці NOUN 1 fixed 3 прыкладу NOUN 5 obl 4 віцэ-прэм'ер NOUN 5 nsubj 5 прывёў VERB 0 root 6 дадатнае ADJ 7 amod 7 сальда NOUN 5 obj 8 знешняга ADJ 9 amod 9 гандлю NOUN 7 nmod 10 , PUNCT 11 punct 11 рост NOUN 7 conj 12 дэпазітаў NOUN 11 nmod 13 фізічных ADJ 14 amod 14 асоб NOUN 12 nmod 15 , PUNCT 16 punct 16 зніжэнне NOUN 7 conj 17 тэмпаў NOUN 16 nmod 18 інфляцыі 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: Як перадаваў Тэлеграф, у лютым прэзідэнт Беларусі Аляксандр Лукашэнка заявіў, што лічыць сярэднюю зарплату ў 500 даляраў нізкай для Беларусі.

Position Tokenization UPOS Head Deprel 1 Як SCONJ 2 mark 2 перадаваў VERB 11 advcl 3 Тэлеграф PROPN 2 nsubj 4 , PUNCT 2 punct 5 у ADP 6 case 6 лютым NOUN 11 obl 7 прэзідэнт NOUN 11 nsubj 8 Беларусі PROPN 7 nmod 9 Аляксандр PROPN 7 appos 10 Лукашэнка PROPN 9 flat:name 11 заявіў VERB 0 root 12 , PUNCT 14 punct 13 што SCONJ 14 mark 14 лічыць VERB 11 ccomp 15 сярэднюю ADJ 16 amod 16 зарплату NOUN 14 obj 17 ў ADP 19 case 18 500 NUM 19 nummod:gov 19 даляраў NOUN 16 nmod 20 нізкай ADJ 19 xcomp 21 для ADP 22 case 22 Беларусі PROPN 20 obl 23 . 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: "На працягу года, максімум паўтара, мы не проста павінны выйсці на дакрызісны ў фінансавым плане ўзровень, а пераадолець яго", -- сказаў Аляксандр Лукашэнка.

Position Tokenization UPOS Head Deprel 1 " PUNCT 12 punct 2 На ADP 4 case 3 працягу NOUN 2 fixed 4 года NOUN 12 obl 5 , PUNCT 7 punct 6 максімум ADV 7 advmod 7 паўтара NUM 4 conj 8 , PUNCT 7 punct 9 мы PRON 12 nsubj 10 не PART 12 advmod 11 проста PART 12 advmod 12 павінны ADJ 0 root 13 выйсці VERB 12 xcomp 14 на ADP 19 case 15 дакрызісны ADJ 19 amod 16 ў ADP 18 case 17 фінансавым ADJ 18 amod 18 плане NOUN 15 obl 19 ўзровень NOUN 13 obl 20 , PUNCT 22 punct 21 а CCONJ 22 cc 22 пераадолець VERB 13 conj 23 яго PRON 22 obj 24 " PUNCT 12 punct 25 , PUNCT 27 punct 26 -- PUNCT 27 punct 27 сказаў VERB 12 parataxis 28 Аляксандр PROPN 27 nsubj 29 Лукашэнка PROPN 28 flat:name 30 . 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: Пры гэтым для дасягненні пастаўленай мэты кіраўнік дзяржавы забараніў звяртацца да дадаткова эмісіі.

Position Tokenization UPOS Head Deprel 1 Пры ADP 2 case 2 гэтым PRON 9 obl 3 для ADP 4 case 4 дасягненні NOUN 9 obl 5 пастаўленай VERB 6 amod 6 мэты NOUN 4 nmod 7 кіраўнік NOUN 9 nsubj 8 дзяржавы NOUN 7 nmod 9 забараніў VERB 0 root 10 звяртацца VERB 9 xcomp 11 да ADP 13 case 12 дадаткова ADJ 13 amod 13 эмісіі NOUN 10 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: "Гэта абсалютна выключана.

Position Tokenization UPOS Head Deprel 1 " PUNCT 4 punct 2 Гэта PRON 4 nsubj 3 абсалютна ADV 4 advmod 4 выключана 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 нас ёсць магчымасць зарабіць нармальныя грошы для таго, каб людзі адчулі паляпшэнне жыцця", -- упэўнены беларускі лідар.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 нас PRON 0 root 3 ёсць AUX 2 cop 4 магчымасць NOUN 2 nsubj 5 зарабіць VERB 4 nmod 6 нармальныя ADJ 7 amod 7 грошы NOUN 5 obj 8 для ADP 9 case 9 таго PRON 2 obl 10 , PUNCT 13 punct 11 каб SCONJ 13 mark 12 людзі NOUN 13 nsubj 13 адчулі VERB 9 acl 14 паляпшэнне NOUN 13 obj 15 жыцця NOUN 14 nmod 16 " PUNCT 2 punct 17 , PUNCT 19 punct 18 -- PUNCT 19 punct 19 упэўнены ADJ 2 parataxis 20 беларускі ADJ 21 amod 21 лідар NOUN 19 nsubj 22 . 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: Нацбанк распавёў, як добра жывецца ў Беларусі

Position Tokenization UPOS Head Deprel 1 Нацбанк PROPN 2 nsubj 2 распавёў VERB 0 root 3 , PUNCT 6 punct 4 як ADV 6 advmod 5 добра ADV 6 advmod 6 жывецца VERB 2 ccomp 7 ў ADP 8 case 8 Беларусі PROPN 6 obl

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: Нацыянальны банк Беларусі даў справаздачу за працу ў грашова-крэдытнай сферы ў першыя два месяцы 2012 года.

Position Tokenization UPOS Head Deprel 1 Нацыянальны ADJ 2 amod 2 банк NOUN 4 nsubj 3 Беларусі PROPN 2 obl 4 даў VERB 0 root 5 справаздачу NOUN 4 obj 6 за ADP 7 case 7 працу NOUN 4 obl 8 ў ADP 10 case 9 грашова-крэдытнай ADJ 10 amod 10 сферы NOUN 7 nmod 11 ў ADP 14 case 12 першыя ADJ 13 amod 13 два NUM 14 nummod:gov 14 месяцы NOUN 7 nmod 15 2012 ADJ 16 amod 16 года NOUN 14 nmod 17 . 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: Згодна з экспертнымі ацэнакамі, у студзені-сакавіку гэтага года дзякуючы дзейсным і адэкватным стабілізацыйным мерам Нацбанка і ўрада ўдалося "працягнуць паляпшэнне сітуацыі ў эканоміцы і грашова-крэдытнай сферы Беларусі".

Position Tokenization UPOS Head Deprel 1 Згодна ADP 3 case 2 з ADP 1 fixed 3 экспертнымі ADJ 4 amod 4 ацэнакамі NOUN 21 obl 5 , PUNCT 4 punct 6 у ADP 7 case 7 студзені NOUN 21 obl 8 - PUNCT 9 punct 9 сакавіку NOUN 7 nmod 10 гэтага DET 11 det 11 года NOUN 7 nmod 12 дзякуючы ADP 17 case 13 дзейсным ADJ 17 amod 14 і CCONJ 15 cc 15 адэкватным ADJ 13 conj 16 стабілізацыйным ADJ 17 amod 17 мерам NOUN 21 obl 18 Нацбанка PROPN 17 nmod 19 і CCONJ 20 cc 20 ўрада NOUN 18 conj 21 ўдалося VERB 0 root 22 " PUNCT 23 punct 23 працягнуць VERB 21 xcomp 24 паляпшэнне NOUN 23 obj 25 сітуацыі NOUN 24 nmod 26 ў ADP 27 case 27 эканоміцы NOUN 25 nmod 28 і CCONJ 30 cc 29 грашова-крэдытнай ADJ 30 amod 30 сферы NOUN 27 conj 31 Беларусі PROPN 27 nmod 32 " PUNCT 23 punct 33 . PUNCT 21 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 Нацбанку звяртаюць увагу на запаволенне інфляцыйных працэсаў (інфляцыя ў студзені склала 1,9%, у лютым -- 1,5%, а за два тыдні сакавіка -- 0,8%) і ўстойлівую дынаміку абменнага курса (кошык валют на 20 сакавіка 2012 года у параўнанні з пачаткам года ўмацавалася на 0,65%).

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 Нацбанку PROPN 3 obl 3 звяртаюць VERB 0 root 4 увагу NOUN 3 obj 5 на ADP 6 case 6 запаволенне NOUN 3 obl 7 інфляцыйных ADJ 8 amod 8 працэсаў NOUN 6 nmod 9 ( PUNCT 13 punct 10 інфляцыя NOUN 13 nsubj 11 ў ADP 12 case 12 студзені NOUN 10 nmod 13 склала VERB 6 parataxis 14 1,9 NUM 15 nummod:gov 15 % SYM 13 obj 16 , PUNCT 21 punct 17 у ADP 18 case 18 лютым NOUN 21 orphan 19 -- PUNCT 21 punct 20 1,5 NUM 21 nummod:gov 21 % SYM 15 conj 22 , PUNCT 30 punct 23 а CCONJ 30 cc 24 за ADP 26 case 25 два NUM 26 nummod:gov 26 тыдні NOUN 30 orphan 27 сакавіка NOUN 26 nmod 28 -- PUNCT 30 punct 29 0,8 NUM 30 nummod:gov 30 % SYM 15 conj 31 ) PUNCT 13 punct 32 і CCONJ 34 cc 33 ўстойлівую ADJ 34 amod 34 дынаміку NOUN 6 conj 35 абменнага ADJ 36 amod 36 курса NOUN 34 nmod 37 ( PUNCT 50 punct 38 кошык NOUN 50 nsubj 39 валют NOUN 38 nmod 40 на ADP 42 case 41 20 ADJ 50 obl 42 сакавіка NOUN 41 nmod 43 2012 ADJ 44 amod 44 года NOUN 42 nmod 45 у ADP 48 case 46 параўнанні NOUN 45 fixed 47 з ADP 45 fixed 48 пачаткам NOUN 50 obl 49 года NOUN 48 nmod 50 ўмацавалася VERB 34 parataxis 51 на ADP 53 case 52 0,65 NUM 53 nummod:gov 53 % SYM 50 obl 54 ) PUNCT 50 punct 55 . 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: Па словах экспертаў, гэта звязана з паляпшэннем стану знешняга гандлю і зніжэннем знешнеэканамічных дысбалансаў "у выніку правядзення збалансаванай макраэканамічнай, бюджэтна-падатковай і грашова-крэдытнай палітыкі".

Position Tokenization UPOS Head Deprel 1 Па ADP 2 case 2 словах NOUN 6 obl 3 экспертаў NOUN 2 obl 4 , PUNCT 2 punct 5 гэта PRON 6 nsubj 6 звязана ADJ 0 root 7 з ADP 8 case 8 паляпшэннем NOUN 6 obl 9 стану NOUN 8 nmod 10 знешняга ADJ 11 amod 11 гандлю NOUN 9 nmod 12 і CCONJ 13 cc 13 зніжэннем NOUN 8 conj 14 знешнеэканамічных ADJ 15 amod 15 дысбалансаў NOUN 13 nmod 16 " PUNCT 18 punct 17 у ADP 18 case 18 выніку NOUN 8 nmod 19 правядзення NOUN 18 nmod 20 збалансаванай ADJ 26 amod 21 макраэканамічнай ADJ 26 amod 22 , PUNCT 23 punct 23 бюджэтна-падатковай ADJ 21 conj 24 і CCONJ 25 cc 25 грашова-крэдытнай ADJ 21 conj 26 палітыкі NOUN 19 nmod 27 " PUNCT 18 punct 28 . 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: За разгляданы перыяд, паводле справаздачы Нацбанка, золатавалютныя рэзервы краіны павялічыліся за кошт станоўчых тэндэнцый ў знешнім гандлі, якія суправаджаліся ўстойлівым перавышэннем прапановы замежнай валюты над попытам на ўнутраным валютным рынку.

Position Tokenization UPOS Head Deprel 1 За ADP 3 case 2 разгляданы VERB 3 amod 3 перыяд NOUN 12 obl 4 , PUNCT 6 punct 5 паводле ADP 6 case 6 справаздачы NOUN 12 obl 7 Нацбанка PROPN 6 nmod 8 , PUNCT 6 punct 9 золатавалютныя ADJ 10 amod 10 рэзервы NOUN 3 nsubj 11 краіны NOUN 10 nmod 12 павялічыліся VERB 0 root 13 за ADP 16 case 14 кошт NOUN 13 fixed 15 станоўчых ADJ 16 amod 16 тэндэнцый NOUN 12 obl 17 ў ADP 19 case 18 знешнім ADJ 19 amod 19 гандлі NOUN 16 nmod 20 , PUNCT 22 punct 21 якія PRON 22 nsubj 22 суправаджаліся VERB 16 acl:relcl 23 ўстойлівым ADJ 24 amod 24 перавышэннем NOUN 22 obj 25 прапановы NOUN 24 nmod 26 замежнай ADJ 27 amod 27 валюты NOUN 25 nmod 28 над ADP 29 case 29 попытам NOUN 24 nmod 30 на ADP 33 case 31 ўнутраным ADJ 33 amod 32 валютным ADJ 33 amod 33 рынку NOUN 29 nmod 34 . 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: У Нацбанку таксама адзначаюць узмацненне ашчадных працэсаў у эканоміцы.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 Нацбанку PROPN 4 obl 3 таксама ADV 4 advmod 4 адзначаюць VERB 0 root 5 узмацненне NOUN 4 obj 6 ашчадных ADJ 7 amod 7 працэсаў NOUN 5 nmod 8 у ADP 9 case 9 эканоміцы NOUN 7 nmod 10 . 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: Паводле афіцыйнай статыстыкі, з пачатку года беларусы зрабілі укладаў у нацыянальнай і замежнай валютах на 4,9 трлн рублёў.

Position Tokenization UPOS Head Deprel 1 Паводле ADP 3 case 2 афіцыйнай ADJ 3 amod 3 статыстыкі NOUN 9 obl 4 , PUNCT 3 punct 5 з ADP 6 case 6 пачатку NOUN 9 obl 7 года NOUN 6 nmod 8 беларусы NOUN 9 nsubj 9 зрабілі VERB 0 root 10 укладаў NOUN 9 obj 11 у ADP 15 case 12 нацыянальнай ADJ 15 amod 13 і CCONJ 14 cc 14 замежнай ADJ 12 conj 15 валютах NOUN 10 nmod 16 на ADP 19 case 17 4,9 NUM 18 nummod:gov 18 трлн NOUN 19 nummod:gov 19 рублёў NOUN 10 nmod 20 . 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: Пры гэтым характэрны рост рублёвых укладаў (на 2,5 трлн рублёў за два месяцы).

Position Tokenization UPOS Head Deprel 1 Пры ADP 2 case 2 гэтым PRON 3 obl 3 характэрны ADJ 0 root 4 рост NOUN 3 nsubj 5 рублёвых ADJ 6 amod 6 укладаў NOUN 4 nmod 7 ( PUNCT 11 punct 8 на ADP 11 case 9 2,5 NUM 10 nummod:gov 10 трлн NOUN 11 nummod:gov 11 рублёў NOUN 4 parataxis 12 за ADP 14 case 13 два NUM 14 nummod:gov 14 месяцы NOUN 11 orphan 15 ) PUNCT 11 punct 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: У Нацбанку гэтую дынаміку тлумачаць значным дадатным узроўнем рэальных працэнтных ставак па дэпазітах у нацыянальнай валюце.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 Нацбанку PROPN 5 obl 3 гэтую DET 4 det 4 дынаміку NOUN 5 obj 5 тлумачаць VERB 0 root 6 значным ADJ 8 amod 7 дадатным ADJ 8 amod 8 узроўнем NOUN 5 iobj 9 рэальных ADJ 11 amod 10 працэнтных ADJ 11 amod 11 ставак NOUN 8 nmod 12 па ADP 13 case 13 дэпазітах NOUN 11 nmod 14 у ADP 16 case 15 нацыянальнай ADJ 16 amod 16 валюце NOUN 13 nmod 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: У далейшым Нацыянальны банк мае намер працягваць праводзіць грашова-крэдытную палітыку, зыходзячы з інфляцыйных тэндэнцый, сітуацыі на грашовым рынку, у рэальным сектары эканомікі.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 далейшым ADJ 5 obl 3 Нацыянальны ADJ 4 amod 4 банк NOUN 5 nsubj 5 мае VERB 0 root 6 намер NOUN 5 obj 7 працягваць VERB 6 nmod 8 праводзіць VERB 7 amod 9 грашова-крэдытную ADJ 10 obj 10 палітыку NOUN 8 obj 11 , PUNCT 12 punct 12 зыходзячы VERB 8 advcl 13 з ADP 15 case 14 інфляцыйных ADJ 15 amod 15 тэндэнцый NOUN 12 obl 16 , PUNCT 17 punct 17 сітуацыі NOUN 15 conj 18 на ADP 20 case 19 грашовым ADJ 20 amod 20 рынку NOUN 17 nmod 21 , PUNCT 24 punct 22 у ADP 24 case 23 рэальным ADJ 24 amod 24 сектары NOUN 20 conj 25 эканомікі NOUN 24 nmod 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: Усе меры Нацбанка будуць накіраваны на падтрыманне цэнавай і фінансавай стабільнасці Беларусі.

Position Tokenization UPOS Head Deprel 1 Усе DET 2 det 2 меры NOUN 5 nsubj 3 Нацбанка PROPN 2 nmod 4 будуць AUX 5 aux:pass 5 накіраваны VERB 0 root 6 на ADP 7 case 7 падтрыманне NOUN 5 obl 8 цэнавай ADJ 11 amod 9 і CCONJ 10 cc 10 фінансавай ADJ 8 conj 11 стабільнасці NOUN 7 nmod 12 Беларусі PROPN 11 nmod 13 . 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: Еўрасаюз мае намер увесці новыя санкцыі супраць Беларусі, Сірыі і Ірана

Position Tokenization UPOS Head Deprel 1 Еўрасаюз PROPN 2 nsubj 2 мае VERB 0 root 3 намер NOUN 2 obj 4 увесці VERB 3 nmod 5 новыя ADJ 6 amod 6 санкцыі NOUN 3 obj 7 супраць ADP 8 case 8 Беларусі PROPN 6 nmod 9 , PUNCT 10 punct 10 Сірыі PROPN 8 conj 11 і CCONJ 12 cc 12 Ірана PROPN 8 conj

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: Еўрасаюз на сустрэчы кіраўнікоў МЗС краін-членаў арганізацыі, прызначанай на 22 і 23 сакавіка, абмяркуе і, магчыма, зацвердзіць новыя "кропкавыя санкцыі" супраць Беларусі, Сірыі і Ірана ў сувязі з "адсутнасцю прагрэсу" ў сітуацыі ў гэтых краінах.

Position Tokenization UPOS Head Deprel 1 Еўрасаюз PROPN 18 nsubj 2 на ADP 3 case 3 сустрэчы NOUN 18 obl 4 кіраўнікоў NOUN 3 nmod 5 МЗС PROPN 4 nmod 6 краін NOUN 4 nmod 7 - PUNCT 8 punct 8 членаў NOUN 6 appos 9 арганізацыі NOUN 8 nmod 10 , PUNCT 11 punct 11 прызначанай VERB 3 acl 12 на ADP 16 case 13 22 ADJ 11 obl 14 і CCONJ 15 cc 15 23 ADJ 13 conj 16 сакавіка NOUN 13 nmod 17 , PUNCT 11 punct 18 абмяркуе VERB 0 root 19 і CCONJ 23 cc 20 , PUNCT 21 punct 21 магчыма ADV 23 parataxis 22 , PUNCT 21 punct 23 зацвердзіць VERB 18 conj 24 новыя ADJ 27 amod 25 " PUNCT 27 punct 26 кропкавыя ADJ 27 amod 27 санкцыі NOUN 18 obj 28 " PUNCT 27 punct 29 супраць ADP 30 case 30 Беларусі PROPN 27 nmod 31 , PUNCT 32 punct 32 Сірыі PROPN 30 conj 33 і CCONJ 34 cc 34 Ірана PROPN 30 conj 35 ў ADP 39 case 36 сувязі NOUN 35 fixed 37 з ADP 35 fixed 38 " PUNCT 39 punct 39 адсутнасцю NOUN 18 obl 40 прагрэсу NOUN 39 nmod 41 " PUNCT 40 punct 42 ў ADP 43 case 43 сітуацыі NOUN 40 nmod 44 ў ADP 46 case 45 гэтых DET 46 det 46 краінах NOUN 40 nmod 47 . PUNCT 18 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: Пра гэта паведамляе AFP са спасылкай на неназванага высокапастаўленага прадстаўніка ЕС.

Position Tokenization UPOS Head Deprel 1 Пра ADP 2 case 2 гэта PRON 3 obl 3 паведамляе VERB 0 root 4 AFP X 3 nsubj 5 са ADP 6 case 6 спасылкай NOUN 3 obl 7 на ADP 10 case 8 неназванага ADJ 10 amod 9 высокапастаўленага ADJ 10 amod 10 прадстаўніка NOUN 6 nmod 11 ЕС PROPN 10 nmod 12 . 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: У беларускі "чорны спіс" кіраўнікі МЗС ЕС маюць намер унесці каля 10 чалавек і 29 арганізацый, супраць якіх дзейнічаюць санкцыі.

Position Tokenization UPOS Head Deprel 1 У ADP 5 case 2 беларускі ADJ 5 amod 3 " PUNCT 5 punct 4 чорны ADJ 5 amod 5 спіс NOUN 12 obl 6 " PUNCT 5 punct 7 кіраўнікі NOUN 10 nsubj 8 МЗС PROPN 7 nmod 9 ЕС PROPN 8 nmod 10 маюць VERB 0 root 11 намер NOUN 10 obj 12 унесці VERB 11 nmod 13 каля ADP 15 case 14 10 NUM 15 nummod 15 чалавек NOUN 12 obl 16 і CCONJ 18 cc 17 29 NUM 18 nummod 18 арганізацый NOUN 15 conj 19 , PUNCT 22 punct 20 супраць ADP 21 case 21 якіх PRON 22 obl 22 дзейнічаюць VERB 15 acl:relcl 23 санкцыі NOUN 22 nsubj 24 . 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 цяперашні час у спіс уваходзяць ўжо 227 чалавек, якім забаронены ўезд у ЕС, паведаміла крыніца.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 цяперашні ADJ 3 amod 3 час NOUN 6 obl 4 у ADP 5 case 5 спіс NOUN 6 obl 6 уваходзяць VERB 0 root 7 ўжо ADV 6 advmod 8 227 NUM 9 nummod:gov 9 чалавек NOUN 6 nsubj 10 , PUNCT 12 punct 11 якім PRON 12 iobj 12 забаронены VERB 9 acl:relcl 13 ўезд NOUN 12 nsubj 14 у ADP 15 case 15 ЕС PROPN 13 nmod 16 , PUNCT 17 punct 17 паведаміла VERB 6 parataxis 18 крыніца NOUN 17 nsubj 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: Каля дзесяці імёнаў, як мяркуецца, будзе ўнесена ў "чорны спіс" сірыйскіх афіцыйных асоб і арганізацый, у дачыненні да якіх уведзеныя санкцыі, якія прадугледжваюць забарону на ўезд на тэрыторыю Еўрасаюза і замарожванне іх актываў.

Position Tokenization UPOS Head Deprel 1 Каля ADP 3 case 2 дзесяці NUM 3 nummod 3 імёнаў NOUN 9 nsubj 4 , PUNCT 6 punct 5 як SCONJ 6 mark 6 мяркуецца VERB 9 parataxis 7 , PUNCT 6 punct 8 будзе AUX 9 aux:pass 9 ўнесена VERB 0 root 10 ў ADP 13 case 11 " PUNCT 13 punct 12 чорны ADJ 13 amod 13 спіс NOUN 9 obl 14 " PUNCT 13 punct 15 сірыйскіх ADJ 17 amod 16 афіцыйных ADJ 17 amod 17 асоб NOUN 13 nmod 18 і CCONJ 19 cc 19 арганізацый NOUN 17 conj 20 , PUNCT 25 punct 21 у ADP 24 case 22 дачыненні NOUN 21 fixed 23 да ADP 21 fixed 24 якіх PRON 25 obl 25 уведзеныя VERB 17 acl:relcl 26 санкцыі NOUN 25 nsubj 27 , PUNCT 29 punct 28 якія PRON 29 nsubj 29 прадугледжваюць VERB 26 acl:relcl 30 забарону NOUN 29 obj 31 на ADP 32 case 32 ўезд NOUN 30 nmod 33 на ADP 34 case 34 тэрыторыю NOUN 32 nmod 35 Еўрасаюза PROPN 34 nmod 36 і CCONJ 37 cc 37 замарожванне NOUN 30 conj 38 іх DET 39 det 39 актываў NOUN 37 nmod 40 . 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: Таксама міністры абмяркуюць магчымасць узмацнення дыпламатычнага ціску на Дамаск.

Position Tokenization UPOS Head Deprel 1 Таксама CCONJ 3 cc 2 міністры NOUN 3 nsubj 3 абмяркуюць VERB 0 root 4 магчымасць NOUN 3 obl 5 узмацнення NOUN 4 nmod 6 дыпламатычнага ADJ 7 amod 7 ціску NOUN 5 nmod 8 на ADP 9 case 9 Дамаск PROPN 7 nmod 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: "Мы прынялі рашэнне дзейнічаць узгоднена.

Position Tokenization UPOS Head Deprel 1 " PUNCT 3 punct 2 Мы PRON 3 nsubj 3 прынялі VERB 0 root 4 рашэнне NOUN 3 obj 5 дзейнічаць VERB 4 nmod 6 узгоднена ADV 5 advmod 7 . 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 кожная краіна будзе прымаць рашэнне зыходзячы з уласнай пазіцыі", -- заявіла крыніца агенцтва.

Position Tokenization UPOS Head Deprel 1 Але CCONJ 5 cc 2 кожная DET 3 det 3 краіна NOUN 5 nsubj 4 будзе AUX 5 aux 5 прымаць VERB 0 root 6 рашэнне NOUN 5 obj 7 зыходзячы VERB 5 advcl 8 з ADP 10 case 9 уласнай ADJ 10 amod 10 пазіцыі NOUN 7 obl 11 " PUNCT 5 punct 12 , PUNCT 14 punct 13 -- PUNCT 14 punct 14 заявіла VERB 5 parataxis 15 крыніца NOUN 14 nsubj 16 агенцтва NOUN 15 nmod 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: У аўторак, 20 сакавіка, брытанская газета Daily Telegraph са спасылкай на дыпламатычныя крыніцы паведаміла, што кіраўнікі МЗС ЕС, у прыватнасці, уключаць у "чорны спіс" Асму Асад, жонку прэзідэнта краіны Башара Асада.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 аўторак NOUN 16 obl 3 , PUNCT 4 punct 4 20 ADJ 2 nmod 5 сакавіка NOUN 4 flat 6 , PUNCT 4 punct 7 брытанская ADJ 8 amod 8 газета NOUN 16 nsubj 9 Daily X 8 appos 10 Telegraph X 9 flat:foreign 11 са ADP 12 case 12 спасылкай NOUN 16 obl 13 на ADP 15 case 14 дыпламатычныя ADJ 15 amod 15 крыніцы NOUN 12 nmod 16 паведаміла VERB 0 root 17 , PUNCT 26 punct 18 што SCONJ 26 mark 19 кіраўнікі NOUN 26 nsubj 20 МЗС PROPN 19 nmod 21 ЕС PROPN 20 nmod 22 , PUNCT 23 punct 23 у ADP 26 parataxis 24 прыватнасці NOUN 23 fixed 25 , PUNCT 23 punct 26 уключаць VERB 16 ccomp 27 у ADP 30 case 28 " PUNCT 30 punct 29 чорны ADJ 30 amod 30 спіс NOUN 26 obl 31 " PUNCT 30 punct 32 Асму PROPN 26 obj 33 Асад PROPN 32 flat:name 34 , PUNCT 35 punct 35 жонку NOUN 32 appos 36 прэзідэнта NOUN 35 nmod 37 краіны NOUN 36 nmod 38 Башара PROPN 36 appos 39 Асада PROPN 38 flat:name 40 . PUNCT 16 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: Акрамя таго, ЕС плануе забараніць пастаўку ў Іран абсталявання і праграмнага забеспячэння, якое можа быць выкарыстана для праслухоўвання тэлефонных званкоў і кантролю за інтэрнэт-трафікам.

Position Tokenization UPOS Head Deprel 1 Акрамя ADP 2 case 2 таго PRON 5 parataxis 3 , PUNCT 2 punct 4 ЕС PROPN 5 nsubj 5 плануе VERB 0 root 6 забараніць VERB 5 xcomp 7 пастаўку NOUN 6 obj 8 ў ADP 9 case 9 Іран PROPN 7 nmod 10 абсталявання NOUN 7 nmod 11 і CCONJ 13 cc 12 праграмнага ADJ 13 amod 13 забеспячэння NOUN 10 conj 14 , PUNCT 16 punct 15 якое PRON 16 nsubj 16 можа VERB 10 acl:relcl 17 быць AUX 18 aux:pass 18 выкарыстана VERB 16 xcomp 19 для ADP 20 case 20 праслухоўвання NOUN 18 obl 21 тэлефонных ADJ 22 amod 22 званкоў NOUN 20 nmod 23 і CCONJ 24 cc 24 кантролю NOUN 22 conj 25 за ADP 26 case 26 інтэрнэт-трафікам NOUN 24 nmod 27 . 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: Як паведамляў Тэлеграф, 27 лютага ЕС пашырыў візавыя і эканамічныя санкцыі, якія дзейнічаюць у дачыненні да прадстаўнікоў афіцыйнага Мінску.

Position Tokenization UPOS Head Deprel 1 Як SCONJ 2 mark 2 паведамляў VERB 8 advcl 3 Тэлеграф PROPN 2 nsubj 4 , PUNCT 2 punct 5 27 ADJ 8 obl 6 лютага NOUN 5 flat 7 ЕС PROPN 8 nsubj 8 пашырыў VERB 0 root 9 візавыя ADJ 12 amod 10 і CCONJ 11 cc 11 эканамічныя ADJ 9 conj 12 санкцыі NOUN 8 obj 13 , PUNCT 15 punct 14 якія PRON 15 nsubj 15 дзейнічаюць VERB 12 acl:relcl 16 у ADP 19 case 17 дачыненні NOUN 16 fixed 18 да ADP 16 fixed 19 прадстаўнікоў NOUN 15 obl 20 афіцыйнага ADJ 21 amod 21 Мінску PROPN 19 nmod 22 . 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: Больш за тое, ЕС не мае намеру абмяжоўвацца ўведзенымі раней санкцыямі.

Position Tokenization UPOS Head Deprel 1 Больш ADV 7 parataxis 2 за ADP 1 fixed 3 тое PRON 1 obl 4 , PUNCT 1 punct 5 ЕС PROPN 7 nsubj 6 не PART 7 advmod 7 мае VERB 0 root 8 намеру NOUN 7 obj 9 абмяжоўвацца VERB 8 nmod 10 ўведзенымі VERB 12 acl 11 раней ADV 10 advmod 12 санкцыямі NOUN 9 obj 13 . 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: Прэзідэнт Беларусі Аляксандр Лукашэнка, прымаючы 20 лютага даверчыя граматы паслоў дзевяці дзяржаў, заклікаў еўрапейскія краіны выбудоўваць адносіны з Беларуссю на раўнапраўных умовах.

Position Tokenization UPOS Head Deprel 1 Прэзідэнт NOUN 15 nsubj 2 Беларусі PROPN 1 nmod 3 Аляксандр PROPN 1 appos 4 Лукашэнка PROPN 3 flat:name 5 , PUNCT 6 punct 6 прымаючы VERB 15 advcl 7 20 ADJ 6 obl 8 лютага NOUN 7 flat 9 даверчыя ADJ 10 amod 10 граматы NOUN 6 obj 11 паслоў NOUN 10 nmod 12 дзевяці NUM 13 nummod 13 дзяржаў NOUN 11 nmod 14 , PUNCT 6 punct 15 заклікаў VERB 0 root 16 еўрапейскія ADJ 17 amod 17 краіны NOUN 15 obj 18 выбудоўваць VERB 15 xcomp 19 адносіны NOUN 18 obj 20 з ADP 21 case 21 Беларуссю PROPN 19 nmod 22 на ADP 24 case 23 раўнапраўных ADJ 24 amod 24 умовах NOUN 18 obl 25 . PUNCT 15 punct