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:
Především kvůli postoji poslanců KDU-ČSL a KDS ve středu rozpočtový výbor odmítl doporučit sněmovně, aby schválila zrušení daňového zvýhodnění malých pivovarů.
Postion	Tokenization
1	Především
2	kvůli
3	postoji
4	poslanců
5	KDU
6	-
7	ČSL
8	a
9	KDS
10	ve
11	středu
12	rozpočtový
13	výbor
14	odmítl
15	doporučit
16	sněmovně
17	,
18	aby
19	aby
20	by
21	schválila
22	zrušení
23	daňového
24	zvýhodnění
25	malých
26	pivovarů
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Především	ADV	3	advmod:emph
2	kvůli	ADP	3	case
3	postoji	NOUN	14	obl
4	poslanců	NOUN	3	nmod
5	KDU	PROPN	4	nmod
6	-	PUNCT	7	punct
7	ČSL	PROPN	5	conj
8	a	CCONJ	9	cc
9	KDS	PROPN	5	conj
10	ve	ADP	11	case
11	středu	NOUN	14	obl
12	rozpočtový	ADJ	13	amod
13	výbor	NOUN	14	nsubj
14	odmítl	VERB	0	root
15	doporučit	VERB	14	xcomp
16	sněmovně	NOUN	15	obl:arg
17	,	PUNCT	20	punct
18	aby	_	None	_
19	aby	SCONJ	20	mark
20	by	AUX	20	aux
21	schválila	VERB	15	ccomp
22	zrušení	NOUN	20	obj
23	daňového	ADJ	23	amod
24	zvýhodnění	NOUN	21	nmod
25	malých	ADJ	25	amod
26	pivovarů	NOUN	23	nmod
27	.	PUNCT	14	punct