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:
Vyplynulo to z únorového a květnového výzkumu Institutu dětí a mládeže ministerstva školství, mládeže a tělovýchovy, který pracoval s 758 respondenty ve věku 15 až 29 let.
Postion	Tokenization
1	Vyplynulo
2	to
3	z
4	únorového
5	a
6	květnového
7	výzkumu
8	Institutu
9	dětí
10	a
11	mládeže
12	ministerstva
13	školství
14	,
15	mládeže
16	a
17	tělovýchovy
18	,
19	který
20	pracoval
21	s
22	758
23	respondenty
24	ve
25	věku
26	15
27	až
28	29
29	let
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Vyplynulo	VERB	0	root
2	to	DET	1	nsubj
3	z	ADP	7	case
4	únorového	ADJ	7	amod
5	a	CCONJ	6	cc
6	květnového	ADJ	4	conj
7	výzkumu	NOUN	1	obl
8	Institutu	NOUN	7	nmod
9	dětí	NOUN	8	nmod
10	a	CCONJ	11	cc
11	mládeže	NOUN	9	conj
12	ministerstva	NOUN	8	nmod
13	školství	NOUN	12	nmod
14	,	PUNCT	15	punct
15	mládeže	NOUN	13	conj
16	a	CCONJ	17	cc
17	tělovýchovy	NOUN	13	conj
18	,	PUNCT	20	punct
19	který	DET	20	nsubj
20	pracoval	VERB	7	acl:relcl
21	s	ADP	23	case
22	758	NUM	23	nummod
23	respondenty	NOUN	20	obl:arg
24	ve	ADP	25	case
25	věku	NOUN	23	nmod
26	15	NUM	29	nummod:gov
27	až	CCONJ	28	cc
28	29	NUM	26	conj
29	let	NOUN	25	nmod
30	.	PUNCT	1	punct