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:
Ještě před vlastním projednáním celé záležitosti v tripartitě jsme se zeptali prvního náměstka ministra financí ČR Jana Klaka , jaký je jeho názor na předložené návrhy.
Postion	Tokenization
1	Ještě
2	před
3	vlastním
4	projednáním
5	celé
6	záležitosti
7	v
8	tripartitě
9	jsme
10	se
11	zeptali
12	prvního
13	náměstka
14	ministra
15	financí
16	ČR
17	Jana
18	Klaka
19	,
20	jaký
21	je
22	jeho
23	názor
24	na
25	předložené
26	návrhy
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Ještě	ADV	4	advmod:emph
2	před	ADP	4	case
3	vlastním	ADJ	4	amod
4	projednáním	NOUN	11	obl
5	celé	ADJ	6	amod
6	záležitosti	NOUN	4	nmod
7	v	ADP	8	case
8	tripartitě	NOUN	4	nmod
9	jsme	AUX	11	aux
10	se	PRON	11	expl:pv
11	zeptali	VERB	0	root
12	prvního	ADJ	13	amod
13	náměstka	NOUN	11	obl:arg
14	ministra	NOUN	13	nmod
15	financí	NOUN	14	nmod
16	ČR	PROPN	14	nmod
17	Jana	PROPN	13	flat
18	Klaka	PROPN	13	flat
19	,	PUNCT	20	punct
20	jaký	DET	11	ccomp
21	je	AUX	20	cop
22	jeho	DET	23	det
23	názor	NOUN	20	nsubj
24	na	ADP	26	case
25	předložené	ADJ	26	amod
26	návrhy	NOUN	23	nmod
27	.	PUNCT	11	punct