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:
Zákon o vzájemném zaměstnávání občanů má podle ministra Vodičky vnést řád a přehled do zaměstnávání tzv. pendlerů, jejichž skutečný počet ani jedna strana nezná.
Postion	Tokenization
1	Zákon
2	o
3	vzájemném
4	zaměstnávání
5	občanů
6	má
7	podle
8	ministra
9	Vodičky
10	vnést
11	řád
12	a
13	přehled
14	do
15	zaměstnávání
16	tzv
17	.
18	pendlerů
19	,
20	jejichž
21	skutečný
22	počet
23	ani
24	jedna
25	strana
26	nezná
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Zákon	NOUN	6	nsubj
2	o	ADP	4	case
3	vzájemném	ADJ	4	amod
4	zaměstnávání	NOUN	1	nmod
5	občanů	NOUN	4	nmod
6	má	VERB	0	root
7	podle	ADP	8	case
8	ministra	NOUN	6	obl
9	Vodičky	PROPN	8	flat
10	vnést	VERB	6	xcomp
11	řád	NOUN	10	obj
12	a	CCONJ	13	cc
13	přehled	NOUN	11	conj
14	do	ADP	15	case
15	zaměstnávání	NOUN	10	obl
16	tzv	ADJ	18	amod
17	.	PUNCT	16	punct
18	pendlerů	NOUN	15	nmod
19	,	PUNCT	26	punct
20	jejichž	DET	22	det
21	skutečný	ADJ	22	amod
22	počet	NOUN	26	obj
23	ani	CCONJ	25	advmod:emph
24	jedna	NUM	25	nummod
25	strana	NOUN	26	nsubj
26	nezná	VERB	18	acl:relcl
27	.	PUNCT	6	punct