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 tokenized text:
"Pochopitelně se probírá i otázka možné účasti odborářů na kandidátkách ČSSD, jelikož v minulých parlamentních volbách jsme byli stranou s největším počtem odborových předáků," zdůraznil Kuča.
Postion	Tokenization
1	"
2	Pochopitelně
3	se
4	probírá
5	i
6	otázka
7	možné
8	účasti
9	odborářů
10	na
11	kandidátkách
12	ČSSD
13	,
14	jelikož
15	v
16	minulých
17	parlamentních
18	volbách
19	jsme
20	byli
21	stranou
22	s
23	největším
24	počtem
25	odborových
26	předáků
27	,
28	"
29	zdůraznil
30	Kuča
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Pochopitelně	ADV	4	advmod
3	se	PRON	4	expl:pass
4	probírá	VERB	29	ccomp
5	i	CCONJ	6	advmod:emph
6	otázka	NOUN	4	nsubj:pass
7	možné	ADJ	8	amod
8	účasti	NOUN	6	nmod
9	odborářů	NOUN	8	nmod
10	na	ADP	11	case
11	kandidátkách	NOUN	8	nmod
12	ČSSD	PROPN	11	nmod
13	,	PUNCT	21	punct
14	jelikož	SCONJ	21	mark
15	v	ADP	18	case
16	minulých	ADJ	18	amod
17	parlamentních	ADJ	18	amod
18	volbách	NOUN	21	obl
19	jsme	AUX	21	aux
20	byli	AUX	21	cop
21	stranou	NOUN	4	advcl
22	s	ADP	24	case
23	největším	ADJ	24	amod
24	počtem	NOUN	21	nmod
25	odborových	ADJ	26	amod
26	předáků	NOUN	24	nmod
27	,	PUNCT	4	punct
28	"	PUNCT	4	punct
29	zdůraznil	VERB	0	root
30	Kuča	NOUN	29	nsubj
31	.	PUNCT	29	punct