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 tokenized text:
Nejdříve s výsledkem pochybným Věra Chytilová (Story Martina Crimpa), poté Léblovi po duchu blízký J. A. Pitínský zdařilým přepisem Greenova románu Jádro věci.
Postion	Tokenization
1	Nejdříve
2	_
3	s
4	výsledkem
5	pochybným
6	Věra
7	Chytilová
8	(
9	Story
10	Martina
11	Crimpa
12	)
13	,
14	poté
15	Léblovi
16	po
17	duchu
18	blízký
19	J
20	.
21	A
22	.
23	Pitínský
24	zdařilým
25	přepisem
26	Greenova
27	románu
28	Jádro
29	věci
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nejdříve	ADV	0	root
2	_	_	None	_
3	s	ADP	3	case
4	výsledkem	NOUN	1	conj
5	pochybným	ADJ	3	amod
6	Věra	PROPN	3	orphan
7	Chytilová	PROPN	5	flat
8	(	PUNCT	5	punct
9	Story	NOUN	5	dep
10	Martina	PROPN	8	nmod
11	Crimpa	PROPN	9	flat
12	)	PUNCT	5	punct
13	,	PUNCT	3	punct
14	poté	ADV	3	orphan
15	Léblovi	PROPN	17	obl:arg
16	po	ADP	16	case
17	duchu	NOUN	17	obl
18	blízký	ADJ	18	amod
19	J	PROPN	3	orphan
20	.	PUNCT	18	punct
21	A	PROPN	18	flat
22	.	PUNCT	20	punct
23	Pitínský	PROPN	18	flat
24	zdařilým	ADJ	24	amod
25	přepisem	NOUN	3	orphan
26	Greenova	ADJ	26	amod
27	románu	NOUN	24	nmod
28	Jádro	NOUN	26	nmod
29	věci	NOUN	27	nmod
30	.	PUNCT	1	punct