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:
Výzkumy v USA dokázaly, že firmě se vyplatí pečovat o zdraví svých zaměstnanců preventivními prohlídkami, relaxačními pobyty i organizováním fitness programů pro zaměstnance i jeho rodinu.
Postion	Tokenization
1	Výzkumy
2	v
3	USA
4	dokázaly
5	,
6	že
7	firmě
8	se
9	vyplatí
10	pečovat
11	o
12	zdraví
13	svých
14	zaměstnanců
15	preventivními
16	prohlídkami
17	,
18	relaxačními
19	pobyty
20	i
21	organizováním
22	fitness
23	programů
24	pro
25	zaměstnance
26	i
27	jeho
28	rodinu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Výzkumy	NOUN	4	nsubj
2	v	ADP	3	case
3	USA	PROPN	1	nmod
4	dokázaly	VERB	0	root
5	,	PUNCT	9	punct
6	že	SCONJ	9	mark
7	firmě	NOUN	9	obl:arg
8	se	PRON	9	expl:pv
9	vyplatí	VERB	4	ccomp
10	pečovat	VERB	9	csubj
11	o	ADP	12	case
12	zdraví	NOUN	10	obl:arg
13	svých	DET	14	det
14	zaměstnanců	NOUN	12	nmod
15	preventivními	ADJ	16	amod
16	prohlídkami	NOUN	10	obl
17	,	PUNCT	19	punct
18	relaxačními	ADJ	19	amod
19	pobyty	NOUN	16	conj
20	i	CCONJ	21	cc
21	organizováním	NOUN	16	conj
22	fitness	ADJ	23	amod
23	programů	NOUN	21	nmod
24	pro	ADP	25	case
25	zaměstnance	NOUN	23	nmod
26	i	CCONJ	28	cc
27	jeho	DET	28	det
28	rodinu	NOUN	25	conj
29	.	PUNCT	4	punct