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: V této chvíli má sice jen 23 procent podpory voličů, pokud ale s ostatními adepty Cardose připraví o zmíněných šest procent přízně, vynutí si druhé kolo voleb, do kterého postoupí jen dva nejúspěšnější.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	této	DET	3	det
3	chvíli	NOUN	4	obl
4	má	VERB	0	root
5	sice	ADV	25	cc
6	jen	PART	7	advmod:emph
7	23	NUM	8	nummod:gov
8	procent	NOUN	4	obj
9	podpory	NOUN	8	nmod
10	voličů	NOUN	9	nmod
11	,	PUNCT	25	punct
12	pokud	SCONJ	18	mark
13	ale	CCONJ	25	cc
14	s	ADP	16	case
15	ostatními	ADJ	16	amod
16	adepty	NOUN	18	obl
17	Cardose	PROPN	18	obj
18	připraví	VERB	25	advcl
19	o	ADP	22	case
20	zmíněných	ADJ	21	amod
21	šest	NUM	22	nummod:gov
22	procent	NOUN	18	obl:arg
23	přízně	NOUN	22	nmod
24	,	PUNCT	18	punct
25	vynutí	VERB	4	conj
26	si	PRON	25	obl
27	druhé	ADJ	28	amod
28	kolo	NOUN	25	obj
29	voleb	NOUN	28	nmod
30	,	PUNCT	33	punct
31	do	ADP	32	case
32	kterého	DET	33	obl
33	postoupí	VERB	28	acl:relcl
34	jen	PART	35	advmod:emph
35	dva	NUM	33	nsubj
36	nejúspěšnější	ADJ	35	amod
37	.	PUNCT	4	punct