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:
Spolumajitel přiznává, že k získání zakázky firmě napomohlo možná i to, že dosud není odsouhlasen zákon o státních zakázkách s pevnými regulemi.
Postion	Tokenization
1	Spolumajitel
2	přiznává
3	,
4	že
5	k
6	získání
7	zakázky
8	firmě
9	napomohlo
10	možná
11	i
12	to
13	,
14	že
15	dosud
16	není
17	odsouhlasen
18	zákon
19	o
20	státních
21	zakázkách
22	s
23	pevnými
24	regulemi
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Spolumajitel	NOUN	2	nsubj
2	přiznává	VERB	0	root
3	,	PUNCT	9	punct
4	že	SCONJ	9	mark
5	k	ADP	6	case
6	získání	NOUN	9	obl
7	zakázky	NOUN	6	nmod
8	firmě	NOUN	9	obl:arg
9	napomohlo	VERB	2	ccomp
10	možná	ADV	9	advmod
11	i	CCONJ	12	advmod:emph
12	to	DET	9	nsubj
13	,	PUNCT	17	punct
14	že	SCONJ	17	mark
15	dosud	ADV	17	advmod
16	není	AUX	17	cop
17	odsouhlasen	ADJ	12	acl
18	zákon	NOUN	17	nsubj
19	o	ADP	21	case
20	státních	ADJ	21	amod
21	zakázkách	NOUN	18	nmod
22	s	ADP	24	case
23	pevnými	ADJ	24	amod
24	regulemi	NOUN	18	nmod
25	.	PUNCT	2	punct