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 text: K Mečiarově obhajobě jeho východní politiky, že značná část slovenských výrobních kapacit, nyní nevyužitých, byla budována pro ruský trh, a proto je nezbytné znovu získat toto odbytiště a tak i snížit počet 380000 nezaměstnaných, má připomínku.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	Mečiarově	ADJ	3	amod
3	obhajobě	NOUN	41	nmod
4	jeho	DET	6	det
5	východní	ADJ	6	amod
6	politiky	NOUN	3	nmod
7	,	PUNCT	19	punct
8	že	SCONJ	19	mark
9	značná	ADJ	10	amod
10	část	NOUN	19	nsubj:pass
11	slovenských	ADJ	13	amod
12	výrobních	ADJ	13	amod
13	kapacit	NOUN	10	nmod
14	,	PUNCT	16	punct
15	nyní	ADV	16	advmod
16	nevyužitých	ADJ	13	amod
17	,	PUNCT	16	punct
18	byla	AUX	19	aux:pass
19	budována	ADJ	3	amod
20	pro	ADP	22	case
21	ruský	ADJ	22	amod
22	trh	NOUN	19	obl
23	,	PUNCT	27	punct
24	a	CCONJ	27	cc
25	proto	CCONJ	27	cc
26	je	AUX	27	cop
27	nezbytné	ADJ	19	conj
28	znovu	ADV	29	advmod
29	získat	VERB	27	csubj
30	toto	DET	31	det
31	odbytiště	NOUN	29	obj
32	a	CCONJ	35	cc
33	tak	ADV	35	advmod
34	i	CCONJ	35	advmod:emph
35	snížit	VERB	27	conj
36	počet	NOUN	35	obj
37	380000	NUM	38	nummod:gov
38	nezaměstnaných	NOUN	36	nmod
39	,	PUNCT	19	punct
40	má	VERB	0	root
41	připomínku	NOUN	40	obj
42	.	PUNCT	40	punct