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:
Když jsem viděl, jak někteří poslanci hlasují zcela proti svým názorům, vázáni stranickou příslušností, dávám přednost nezávislosti, prohlásil v rozhovoru pro LN.
Postion	Tokenization
1	Když
2	jsem
3	viděl
4	,
5	jak
6	někteří
7	poslanci
8	hlasují
9	zcela
10	proti
11	svým
12	názorům
13	,
14	vázáni
15	stranickou
16	příslušností
17	,
18	dávám
19	přednost
20	nezávislosti
21	,
22	prohlásil
23	v
24	rozhovoru
25	pro
26	LN
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	3	mark
2	jsem	AUX	3	aux
3	viděl	VERB	18	advcl
4	,	PUNCT	8	punct
5	jak	SCONJ	8	mark
6	někteří	DET	7	det
7	poslanci	NOUN	8	nsubj
8	hlasují	VERB	3	ccomp
9	zcela	ADV	8	advmod
10	proti	ADP	12	case
11	svým	DET	12	det
12	názorům	NOUN	8	obl
13	,	PUNCT	14	punct
14	vázáni	ADJ	7	xcomp
15	stranickou	ADJ	16	amod
16	příslušností	NOUN	14	obl:arg
17	,	PUNCT	3	punct
18	dávám	VERB	22	ccomp
19	přednost	NOUN	18	obj
20	nezávislosti	NOUN	18	obl:arg
21	,	PUNCT	18	punct
22	prohlásil	VERB	0	root
23	v	ADP	24	case
24	rozhovoru	NOUN	22	obl
25	pro	ADP	26	case
26	LN	PROPN	24	nmod
27	.	PUNCT	22	punct