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:
Republikánský guvernér státu Pete Wilson odmítá podepsat nový rozpočet ve výši 57.6 miliardy dolarů a od 1. července stát Kalifornie vyplácí svých 274000 zaměstnanců státními dluhopisy.
Postion	Tokenization
1	Republikánský
2	guvernér
3	státu
4	Pete
5	Wilson
6	odmítá
7	podepsat
8	nový
9	rozpočet
10	ve
11	výši
12	57.6
13	miliardy
14	dolarů
15	a
16	od
17	1
18	.
19	července
20	stát
21	Kalifornie
22	vyplácí
23	svých
24	274000
25	zaměstnanců
26	státními
27	dluhopisy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Republikánský	ADJ	2	amod
2	guvernér	NOUN	6	nsubj
3	státu	NOUN	2	nmod
4	Pete	PROPN	2	flat
5	Wilson	PROPN	2	flat
6	odmítá	VERB	0	root
7	podepsat	VERB	6	xcomp
8	nový	ADJ	9	amod
9	rozpočet	NOUN	7	obj
10	ve	ADP	11	case
11	výši	NOUN	9	obl
12	57.6	NUM	13	nummod:gov
13	miliardy	NOUN	11	nmod
14	dolarů	NOUN	13	nmod
15	a	CCONJ	22	cc
16	od	ADP	19	case
17	1	NUM	19	nummod
18	.	PUNCT	17	punct
19	července	NOUN	22	obl
20	stát	NOUN	22	nsubj
21	Kalifornie	PROPN	20	nmod
22	vyplácí	VERB	6	conj
23	svých	DET	24	det
24	274000	NUM	25	nummod:gov
25	zaměstnanců	NOUN	22	obj
26	státními	ADJ	27	amod
27	dluhopisy	NOUN	22	obl
28	.	PUNCT	6	punct