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 text: Nepřípustné prý také je, aby návrh rozpočtu obsahoval skryté finanční žertíky vlády- podle Ježkových informací hodlá vláda např. zkrátit běžné dotace Státnímu fondu životního prostředí, aby tak vygumovala 6.1 miliardy na ozdravení ovzduší, které jsme v červnu pracně prosadili.
Position	Tokenization	UPOS	Head	Deprel
1	Nepřípustné	ADJ	0	root
2	prý	PART	1	advmod
3	také	ADV	1	advmod
4	je	AUX	1	cop
5	,	PUNCT	10	punct
6	aby	_	None	_
7	aby	SCONJ	10	mark
8	by	AUX	10	aux
9	návrh	NOUN	10	nsubj
10	rozpočtu	NOUN	8	nmod
11	obsahoval	VERB	1	csubj
12	skryté	ADJ	13	amod
13	finanční	ADJ	13	amod
14	žertíky	NOUN	10	obj
15	vlády	NOUN	13	nmod
16	-	PUNCT	19	punct
17	podle	ADP	18	case
18	Ježkových	ADJ	18	amod
19	informací	NOUN	19	obl
20	hodlá	VERB	1	conj
21	vláda	NOUN	19	nsubj
22	např	ADV	23	advmod
23	.	PUNCT	21	punct
24	zkrátit	VERB	19	xcomp
25	běžné	ADJ	25	amod
26	dotace	NOUN	23	obj
27	Státnímu	ADJ	27	amod
28	fondu	NOUN	23	obl:arg
29	životního	ADJ	29	amod
30	prostředí	NOUN	27	nmod
31	,	PUNCT	34	punct
32	aby	_	None	_
33	aby	SCONJ	34	mark
34	by	AUX	34	aux
35	tak	ADV	34	advmod
36	vygumovala	VERB	23	advcl
37	6.1	NUM	36	nummod:gov
38	miliardy	NOUN	34	obj
39	na	ADP	38	case
40	ozdravení	NOUN	36	nmod
41	ovzduší	NOUN	38	nmod
42	,	PUNCT	46	punct
43	které	DET	46	obj
44	jsme	AUX	46	aux
45	v	ADP	44	case
46	červnu	NOUN	46	obl
47	pracně	ADV	46	advmod
48	prosadili	VERB	38	acl:relcl
49	.	PUNCT	1	punct