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:
K atraktivitě České republiky přispěl zpočátku i bývalý ministr financí Klaus svou důslednou politikou rychlé privatizace, zavedením zákonů tržního hospodářství a stabilní měnovou politikou.
Postion	Tokenization
1	K
2	atraktivitě
3	České
4	republiky
5	přispěl
6	zpočátku
7	i
8	bývalý
9	ministr
10	financí
11	Klaus
12	svou
13	důslednou
14	politikou
15	rychlé
16	privatizace
17	,
18	zavedením
19	zákonů
20	tržního
21	hospodářství
22	a
23	stabilní
24	měnovou
25	politikou
26	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	atraktivitě	NOUN	5	obl:arg
3	České	ADJ	4	amod
4	republiky	NOUN	2	nmod
5	přispěl	VERB	0	root
6	zpočátku	ADV	5	advmod
7	i	CCONJ	9	advmod:emph
8	bývalý	ADJ	9	amod
9	ministr	NOUN	5	nsubj
10	financí	NOUN	9	nmod
11	Klaus	PROPN	9	flat
12	svou	DET	14	det
13	důslednou	ADJ	14	amod
14	politikou	NOUN	5	obl
15	rychlé	ADJ	16	amod
16	privatizace	NOUN	14	nmod
17	,	PUNCT	18	punct
18	zavedením	NOUN	14	conj
19	zákonů	NOUN	18	nmod
20	tržního	ADJ	21	amod
21	hospodářství	NOUN	19	nmod
22	a	CCONJ	25	cc
23	stabilní	ADJ	25	amod
24	měnovou	ADJ	25	amod
25	politikou	NOUN	14	conj
26	.	PUNCT	5	punct