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:
Stát se snaží podnikům ulevit v jejich táhlé agonii například oddlužením ve výši 2.3 miliardy korun z prostředků Fondu národního majetku.
Postion	Tokenization
1	Stát
2	se
3	snaží
4	podnikům
5	ulevit
6	v
7	jejich
8	táhlé
9	agonii
10	například
11	oddlužením
12	ve
13	výši
14	2.3
15	miliardy
16	korun
17	z
18	prostředků
19	Fondu
20	národního
21	majetku
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Stát	NOUN	3	nsubj
2	se	PRON	3	expl:pv
3	snaží	VERB	0	root
4	podnikům	NOUN	5	obl:arg
5	ulevit	VERB	3	xcomp
6	v	ADP	9	case
7	jejich	DET	9	det
8	táhlé	ADJ	9	amod
9	agonii	NOUN	5	obl
10	například	ADV	11	advmod:emph
11	oddlužením	NOUN	5	obl
12	ve	ADP	13	case
13	výši	NOUN	11	nmod
14	2.3	NUM	15	nummod:gov
15	miliardy	NOUN	13	nmod
16	korun	NOUN	15	nmod
17	z	ADP	18	case
18	prostředků	NOUN	16	nmod
19	Fondu	NOUN	18	nmod
20	národního	ADJ	21	amod
21	majetku	NOUN	19	nmod
22	.	PUNCT	3	punct