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:
Požádala vládu ČR, aby urychleně přijala opatření, která zlepší situaci v příjmové části státního rozpočtu, především ve vybírání daně z obratu.
Postion	Tokenization
1	Požádala
2	vládu
3	ČR
4	,
5	aby
6	aby
7	by
8	urychleně
9	přijala
10	opatření
11	,
12	která
13	zlepší
14	situaci
15	v
16	příjmové
17	části
18	státního
19	rozpočtu
20	,
21	především
22	ve
23	vybírání
24	daně
25	z
26	obratu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Požádala	VERB	0	root
2	vládu	NOUN	1	iobj
3	ČR	PROPN	2	nmod
4	,	PUNCT	8	punct
5	aby	_	None	_
6	aby	SCONJ	8	mark
7	by	AUX	8	aux
8	urychleně	ADV	8	advmod
9	přijala	VERB	1	ccomp
10	opatření	NOUN	8	obj
11	,	PUNCT	12	punct
12	která	DET	12	nsubj
13	zlepší	VERB	9	acl:relcl
14	situaci	NOUN	12	obj
15	v	ADP	16	case
16	příjmové	ADJ	16	amod
17	části	NOUN	12	obl
18	státního	ADJ	18	amod
19	rozpočtu	NOUN	16	nmod
20	,	PUNCT	22	punct
21	především	ADV	22	advmod:emph
22	ve	ADP	22	case
23	vybírání	NOUN	12	obl
24	daně	NOUN	22	nmod
25	z	ADP	25	case
26	obratu	NOUN	23	nmod
27	.	PUNCT	1	punct