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: Po 17. listopadu vysoce stouplo renomé osobností, které do politiky teprve vstoupily, od posledních parlamentních voleb se však, jak ukazují průzkumy veřejného mínění, vztah občanů k politickým představitelům ustaluje na normálu.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	4	case
2	17	NUM	4	nummod
3	.	PUNCT	2	punct
4	listopadu	NOUN	6	obl
5	vysoce	ADV	6	advmod
6	stouplo	VERB	0	root
7	renomé	NOUN	6	nsubj
8	osobností	NOUN	7	nmod
9	,	PUNCT	14	punct
10	které	DET	14	nsubj
11	do	ADP	12	case
12	politiky	NOUN	14	obl
13	teprve	ADV	14	advmod:emph
14	vstoupily	VERB	8	acl:relcl
15	,	PUNCT	34	punct
16	od	ADP	19	case
17	posledních	ADJ	19	amod
18	parlamentních	ADJ	19	amod
19	voleb	NOUN	34	obl
20	se	PRON	34	expl:pv
21	však	CCONJ	34	cc
22	,	PUNCT	24	punct
23	jak	ADV	24	advmod
24	ukazují	VERB	34	parataxis
25	průzkumy	NOUN	24	nsubj
26	veřejného	ADJ	27	amod
27	mínění	NOUN	25	nmod
28	,	PUNCT	24	punct
29	vztah	NOUN	34	nsubj
30	občanů	NOUN	29	nmod
31	k	ADP	33	case
32	politickým	ADJ	33	amod
33	představitelům	NOUN	29	nmod
34	ustaluje	VERB	6	conj
35	na	ADP	36	case
36	normálu	NOUN	34	obl
37	.	PUNCT	6	punct