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:
Ministr kultury Pavel Tigrid s oblibou naznačuje, že už vzhledem ke svému věku nemůže svá rozhodnutí zvažovat v relacích let, natož desetiletí.
Postion	Tokenization
1	Ministr
2	kultury
3	Pavel
4	Tigrid
5	s
6	oblibou
7	naznačuje
8	,
9	že
10	už
11	vzhledem
12	ke
13	svému
14	věku
15	nemůže
16	svá
17	rozhodnutí
18	zvažovat
19	v
20	relacích
21	let
22	_
23	,
24	natož
25	desetiletí
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ministr	NOUN	7	nsubj
2	kultury	NOUN	1	nmod
3	Pavel	PROPN	1	flat
4	Tigrid	PROPN	1	flat
5	s	ADP	6	case
6	oblibou	NOUN	7	obl
7	naznačuje	VERB	0	root
8	,	PUNCT	15	punct
9	že	SCONJ	15	mark
10	už	ADV	14	advmod:emph
11	vzhledem	ADP	14	case
12	ke	ADP	11	fixed
13	svému	DET	14	det
14	věku	NOUN	15	obl
15	nemůže	VERB	7	ccomp
16	svá	DET	17	det
17	rozhodnutí	NOUN	18	obj
18	zvažovat	VERB	15	xcomp
19	v	ADP	20	case
20	relacích	NOUN	18	obl
21	let	NOUN	20	nmod
22	_	_	None	_
23	,	PUNCT	23	punct
24	natož	PART	18	conj
25	desetiletí	NOUN	23	orphan
26	.	PUNCT	7	punct