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:
Přestože moderátor známé televizní relace Policie České republiky poručík Petr K. popírá, že by se dopustil trestného činu, jeho případ převzal pražský úřad vyšetřování.
Postion	Tokenization
1	Přestože
2	moderátor
3	známé
4	televizní
5	relace
6	Policie
7	České
8	republiky
9	poručík
10	Petr
11	K
12	.
13	popírá
14	,
15	že
16	by
17	se
18	dopustil
19	trestného
20	činu
21	,
22	jeho
23	případ
24	převzal
25	pražský
26	úřad
27	vyšetřování
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Přestože	SCONJ	13	mark
2	moderátor	NOUN	10	nmod
3	známé	ADJ	5	amod
4	televizní	ADJ	5	amod
5	relace	NOUN	2	nmod
6	Policie	NOUN	5	nmod
7	České	ADJ	8	amod
8	republiky	NOUN	6	nmod
9	poručík	NOUN	10	nmod
10	Petr	PROPN	13	nsubj
11	K	PROPN	10	flat
12	.	PUNCT	10	punct
13	popírá	VERB	24	advcl
14	,	PUNCT	18	punct
15	že	SCONJ	18	mark
16	by	AUX	18	aux
17	se	PRON	18	expl:pv
18	dopustil	VERB	13	ccomp
19	trestného	ADJ	20	amod
20	činu	NOUN	18	obl:arg
21	,	PUNCT	13	punct
22	jeho	DET	23	det
23	případ	NOUN	24	obj
24	převzal	VERB	0	root
25	pražský	ADJ	26	amod
26	úřad	NOUN	24	nsubj
27	vyšetřování	NOUN	26	nmod
28	.	PUNCT	24	punct