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:
Ministr práce a sociálních věcí Jindřich Vodička včera také uvedl, že o zmírnění vládního předpisu o regulaci požádalo pro své firmy letos v 1. pololetí 504 zaměstnavatelů.
Postion	Tokenization
1	Ministr
2	práce
3	a
4	sociálních
5	věcí
6	Jindřich
7	Vodička
8	včera
9	také
10	uvedl
11	,
12	že
13	o
14	zmírnění
15	vládního
16	předpisu
17	o
18	regulaci
19	požádalo
20	pro
21	své
22	firmy
23	letos
24	v
25	1
26	.
27	pololetí
28	504
29	zaměstnavatelů
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	10	nsubj
2	práce	NOUN	1	nmod
3	a	CCONJ	5	cc
4	sociálních	ADJ	5	amod
5	věcí	NOUN	2	conj
6	Jindřich	PROPN	1	flat
7	Vodička	PROPN	1	flat
8	včera	ADV	10	advmod
9	také	ADV	10	advmod
10	uvedl	VERB	0	root
11	,	PUNCT	19	punct
12	že	SCONJ	19	mark
13	o	ADP	14	case
14	zmírnění	NOUN	19	obl:arg
15	vládního	ADJ	16	amod
16	předpisu	NOUN	14	nmod
17	o	ADP	18	case
18	regulaci	NOUN	16	nmod
19	požádalo	VERB	10	ccomp
20	pro	ADP	22	case
21	své	DET	22	det
22	firmy	NOUN	19	obl
23	letos	ADV	19	advmod
24	v	ADP	27	case
25	1	NUM	27	nummod
26	.	PUNCT	25	punct
27	pololetí	NOUN	19	obl
28	504	NUM	29	nummod:gov
29	zaměstnavatelů	NOUN	19	nsubj
30	.	PUNCT	10	punct