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:
Poslanec Petr Bachna (ODS) řekl, že sněmovna musí dospět k takovému modelu, který získá v parlamentu ústavní většinu, tj. minimálně 120 hlasů.
Postion	Tokenization
1	Poslanec
2	Petr
3	Bachna
4	(
5	ODS
6	)
7	řekl
8	,
9	že
10	sněmovna
11	musí
12	dospět
13	k
14	takovému
15	modelu
16	,
17	který
18	získá
19	v
20	parlamentu
21	ústavní
22	většinu
23	,
24	tj
25	.
26	minimálně
27	120
28	hlasů
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Poslanec	NOUN	7	nsubj
2	Petr	PROPN	1	flat
3	Bachna	PROPN	1	flat
4	(	PUNCT	1	punct
5	ODS	PROPN	1	dep
6	)	PUNCT	1	punct
7	řekl	VERB	0	root
8	,	PUNCT	11	punct
9	že	SCONJ	11	mark
10	sněmovna	NOUN	11	nsubj
11	musí	VERB	7	ccomp
12	dospět	VERB	11	xcomp
13	k	ADP	15	case
14	takovému	DET	15	det
15	modelu	NOUN	12	obl:arg
16	,	PUNCT	18	punct
17	který	DET	18	nsubj
18	získá	VERB	15	acl:relcl
19	v	ADP	20	case
20	parlamentu	NOUN	18	obl
21	ústavní	ADJ	22	amod
22	většinu	NOUN	18	obj
23	,	PUNCT	27	punct
24	tj	CCONJ	27	cc
25	.	PUNCT	27	punct
26	minimálně	ADV	27	advmod:emph
27	120	NUM	28	nummod:gov
28	hlasů	NOUN	22	appos
29	.	PUNCT	7	punct