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:
Rozpočtové výdaje mají letos v přepočtu činit 57 miliard USD, příjmy 40 miliard a schodek 17 miliard USD, tj. osm procent hrubého domácího produktu Ruska.
Postion	Tokenization
1	Rozpočtové
2	výdaje
3	mají
4	letos
5	v
6	přepočtu
7	činit
8	57
9	miliard
10	USD
11	_
12	,
13	příjmy
14	40
15	miliard
16	a
17	schodek
18	17
19	miliard
20	USD
21	,
22	tj
23	.
24	osm
25	procent
26	hrubého
27	domácího
28	produktu
29	Ruska
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rozpočtové	ADJ	2	amod
2	výdaje	NOUN	3	nsubj
3	mají	VERB	0	root
4	letos	ADV	3	advmod
5	v	ADP	6	case
6	přepočtu	NOUN	3	obl
7	činit	VERB	3	xcomp
8	57	NUM	9	nummod:gov
9	miliard	NOUN	7	obj
10	USD	NOUN	9	nmod
11	_	_	None	_
12	,	PUNCT	12	punct
13	příjmy	NOUN	3	conj
14	40	NUM	14	nummod:gov
15	miliard	NOUN	12	orphan
16	a	CCONJ	12	cc
17	schodek	NOUN	12	orphan
18	17	NUM	18	nummod:gov
19	miliard	NOUN	12	orphan
20	USD	NOUN	18	nmod
21	,	PUNCT	23	punct
22	tj	CCONJ	23	cc
23	.	PUNCT	23	punct
24	osm	NUM	24	nummod:gov
25	procent	NOUN	17	appos
26	hrubého	ADJ	27	amod
27	domácího	ADJ	27	amod
28	produktu	NOUN	24	nmod
29	Ruska	PROPN	27	nmod
30	.	PUNCT	3	punct