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:
Jelcin v úterý zamítl návrh, podle něhož se minimální mzda více než zdvojnásobuje, což by Rusko stálo dalších 159 biliónů rublů (37 miliard USD).
Postion	Tokenization
1	Jelcin
2	v
3	úterý
4	zamítl
5	návrh
6	,
7	podle
8	něhož
9	se
10	minimální
11	mzda
12	více
13	než
14	zdvojnásobuje
15	,
16	což
17	by
18	Rusko
19	stálo
20	dalších
21	159
22	biliónů
23	rublů
24	(
25	37
26	miliard
27	USD
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jelcin	PROPN	4	nsubj
2	v	ADP	3	case
3	úterý	NOUN	4	obl
4	zamítl	VERB	0	root
5	návrh	NOUN	4	obj
6	,	PUNCT	14	punct
7	podle	ADP	8	case
8	něhož	PRON	14	obl
9	se	PRON	14	expl:pass
10	minimální	ADJ	11	amod
11	mzda	NOUN	14	nsubj:pass
12	více	ADV	14	advmod
13	než	SCONJ	12	fixed
14	zdvojnásobuje	VERB	5	acl:relcl
15	,	PUNCT	19	punct
16	což	PRON	19	nsubj
17	by	AUX	19	aux
18	Rusko	PROPN	19	obj
19	stálo	VERB	14	conj
20	dalších	ADJ	21	amod
21	159	NUM	22	nummod:gov
22	biliónů	NOUN	19	iobj
23	rublů	NOUN	22	nmod
24	(	PUNCT	26	punct
25	37	NUM	26	nummod:gov
26	miliard	NOUN	21	appos
27	USD	NOUN	26	nmod
28	)	PUNCT	26	punct
29	.	PUNCT	4	punct