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:
Na Slovensku je všeobecně rozšířen názor, že za čtrnáctiprocentní až patnáctiprocentní nezaměstnanost nese odpovědnost především Václav Havel, který jako federální prezident v roce 1990 přijal rozhodnutí zrušit zbrojní výrobu.
Postion	Tokenization
1	Na
2	Slovensku
3	je
4	všeobecně
5	rozšířen
6	názor
7	,
8	že
9	za
10	čtrnáctiprocentní
11	až
12	patnáctiprocentní
13	nezaměstnanost
14	nese
15	odpovědnost
16	především
17	Václav
18	Havel
19	,
20	který
21	jako
22	federální
23	prezident
24	v
25	roce
26	1990
27	přijal
28	rozhodnutí
29	zrušit
30	zbrojní
31	výrobu
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	Slovensku	PROPN	5	obl
3	je	AUX	5	cop
4	všeobecně	ADV	5	advmod
5	rozšířen	ADJ	0	root
6	názor	NOUN	5	nsubj
7	,	PUNCT	14	punct
8	že	SCONJ	14	mark
9	za	ADP	13	case
10	čtrnáctiprocentní	ADJ	13	amod
11	až	CCONJ	12	cc
12	patnáctiprocentní	ADJ	10	conj
13	nezaměstnanost	NOUN	15	nmod
14	nese	VERB	6	acl
15	odpovědnost	NOUN	14	obj
16	především	ADV	17	advmod:emph
17	Václav	PROPN	14	nsubj
18	Havel	PROPN	17	flat
19	,	PUNCT	27	punct
20	který	DET	27	nsubj
21	jako	SCONJ	23	mark
22	federální	ADJ	23	amod
23	prezident	NOUN	20	xcomp
24	v	ADP	25	case
25	roce	NOUN	27	obl
26	1990	NUM	25	nummod
27	přijal	VERB	17	acl:relcl
28	rozhodnutí	NOUN	27	obj
29	zrušit	VERB	28	acl
30	zbrojní	ADJ	31	amod
31	výrobu	NOUN	29	obj
32	.	PUNCT	5	punct