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:
Prokuratura ho neviní z vydírání, nýbrž z neoprávněného předávání informací, i když Viktor Kožený opakovaně tvrdil, že ho Wallis vydíral.
Postion	Tokenization
1	Prokuratura
2	ho
3	neviní
4	z
5	vydírání
6	,
7	nýbrž
8	z
9	neoprávněného
10	předávání
11	informací
12	,
13	i
14	když
15	Viktor
16	Kožený
17	opakovaně
18	tvrdil
19	,
20	že
21	ho
22	Wallis
23	vydíral
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Prokuratura	NOUN	3	nsubj
2	ho	PRON	3	obj
3	neviní	VERB	0	root
4	z	ADP	5	case
5	vydírání	NOUN	3	obl
6	,	PUNCT	10	punct
7	nýbrž	CCONJ	10	cc
8	z	ADP	10	case
9	neoprávněného	ADJ	10	amod
10	předávání	NOUN	5	conj
11	informací	NOUN	10	nmod
12	,	PUNCT	18	punct
13	i	CCONJ	18	mark
14	když	SCONJ	13	fixed
15	Viktor	PROPN	18	nsubj
16	Kožený	PROPN	15	flat
17	opakovaně	ADV	18	advmod
18	tvrdil	VERB	3	advcl
19	,	PUNCT	23	punct
20	že	SCONJ	23	mark
21	ho	PRON	23	obj
22	Wallis	PROPN	23	nsubj
23	vydíral	VERB	18	ccomp
24	.	PUNCT	3	punct