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: Vzhledem k tomu, že podle jejích slov ODS preferuje bezpečnost občanů, zdravotnictví a vzdělání, není podle Petrové vyloučeno, že by ODS podpořila, aby ušetřené miliardy plynuly právě do těchto oblastí.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	tomu	DET	21	obl
4	,	PUNCT	10	punct
5	že	SCONJ	10	mark
6	podle	ADP	8	case
7	jejích	DET	8	det
8	slov	NOUN	10	obl
9	ODS	PROPN	10	nsubj
10	preferuje	VERB	3	acl
11	bezpečnost	NOUN	10	obj
12	občanů	NOUN	11	nmod
13	,	PUNCT	14	punct
14	zdravotnictví	NOUN	11	conj
15	a	CCONJ	16	cc
16	vzdělání	NOUN	11	conj
17	,	PUNCT	10	punct
18	není	AUX	21	cop
19	podle	ADP	20	case
20	Petrové	PROPN	21	obl
21	vyloučeno	ADJ	0	root
22	,	PUNCT	26	punct
23	že	SCONJ	26	mark
24	by	AUX	26	aux
25	ODS	PROPN	26	nsubj
26	podpořila	VERB	21	csubj
27	,	PUNCT	32	punct
28	aby	_	None	_
29	aby	SCONJ	32	mark
30	by	AUX	32	aux
31	ušetřené	ADJ	31	amod
32	miliardy	NOUN	32	nsubj
33	plynuly	VERB	26	ccomp
34	právě	ADV	36	advmod:emph
35	do	ADP	36	case
36	těchto	DET	36	det
37	oblastí	NOUN	32	obl
38	.	PUNCT	21	punct