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 spolková vládní koalice v poslední době ztratila 20 až 30 % voličských sympatií a také reputace bavorského premiéra a jeho CSU je narušena aférou napomáhání obrovskému daňovému úniku z doby, kdy premiér Steuber působil jako Straussův nejvyšší osobní poradce, začíná i v Bavorsku CSU vážně konkurovat SPD.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	tomu	DET	47	obl
4	,	PUNCT	12	punct
5	že	SCONJ	12	mark
6	spolková	ADJ	8	amod
7	vládní	ADJ	8	amod
8	koalice	NOUN	12	nsubj
9	v	ADP	11	case
10	poslední	ADJ	11	amod
11	době	NOUN	12	obl
12	ztratila	VERB	3	acl
13	20	NUM	12	obj
14	až	CCONJ	15	cc
15	30	NUM	13	conj
16	%	SYM	13	nmod
17	voličských	ADJ	18	amod
18	sympatií	NOUN	16	nmod
19	a	CCONJ	28	cc
20	také	ADV	21	advmod:emph
21	reputace	NOUN	28	nsubj:pass
22	bavorského	ADJ	23	amod
23	premiéra	NOUN	21	nmod
24	a	CCONJ	26	cc
25	jeho	DET	26	obl
26	CSU	PROPN	23	conj
27	je	AUX	28	aux:pass
28	narušena	ADJ	12	conj
29	aférou	NOUN	28	obl:arg
30	napomáhání	NOUN	29	nmod
31	obrovskému	ADJ	33	amod
32	daňovému	ADJ	33	amod
33	úniku	NOUN	30	nmod
34	z	ADP	35	case
35	doby	NOUN	29	nmod
36	,	PUNCT	40	punct
37	kdy	ADV	40	advmod
38	premiér	NOUN	40	nsubj
39	Steuber	PROPN	38	flat
40	působil	VERB	35	acl:relcl
41	jako	SCONJ	45	mark
42	Straussův	ADJ	45	amod
43	nejvyšší	ADJ	45	amod
44	osobní	ADJ	45	amod
45	poradce	NOUN	38	xcomp
46	,	PUNCT	12	punct
47	začíná	VERB	0	root
48	i	CCONJ	50	advmod:emph
49	v	ADP	50	case
50	Bavorsku	PROPN	47	obl
51	CSU	PROPN	47	nsubj
52	vážně	ADV	53	advmod
53	konkurovat	VERB	47	xcomp
54	SPD	PROPN	53	obj
55	.	PUNCT	47	punct