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:
Dále je zde oblast práva pracovního, které je dalším příkladem, jak veřejnoprávní úprava vytěsnila vždy svou podstatou smluvní vztahy mezi zaměstnavatelem a zaměstnancem.
Postion	Tokenization
1	Dále
2	je
3	zde
4	oblast
5	práva
6	pracovního
7	,
8	které
9	je
10	dalším
11	příkladem
12	,
13	jak
14	veřejnoprávní
15	úprava
16	vytěsnila
17	vždy
18	svou
19	podstatou
20	smluvní
21	vztahy
22	mezi
23	zaměstnavatelem
24	a
25	zaměstnancem
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Dále	ADV	2	advmod
2	je	VERB	0	root
3	zde	ADV	2	advmod
4	oblast	NOUN	2	nsubj
5	práva	NOUN	4	nmod
6	pracovního	ADJ	5	amod
7	,	PUNCT	11	punct
8	které	DET	11	nsubj
9	je	AUX	11	cop
10	dalším	ADJ	11	amod
11	příkladem	NOUN	5	acl:relcl
12	,	PUNCT	16	punct
13	jak	SCONJ	16	mark
14	veřejnoprávní	ADJ	15	amod
15	úprava	NOUN	16	nsubj
16	vytěsnila	VERB	11	acl
17	vždy	ADV	20	advmod
18	svou	DET	19	det
19	podstatou	NOUN	20	obl
20	smluvní	ADJ	21	amod
21	vztahy	NOUN	16	obj
22	mezi	ADP	23	case
23	zaměstnavatelem	NOUN	21	nmod
24	a	CCONJ	25	cc
25	zaměstnancem	NOUN	23	conj
26	.	PUNCT	2	punct