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:
Při hledání své "parkety" ve výkonném výboru vychází Leška i Pelta zejména ze zkušeností z klubů: "Určité problémy zazněly i na pátečním jednání ligové komise.
Postion	Tokenization
1	Při
2	hledání
3	své
4	"
5	parkety
6	"
7	ve
8	výkonném
9	výboru
10	vychází
11	Leška
12	i
13	Pelta
14	zejména
15	ze
16	zkušeností
17	z
18	klubů
19	:
20	"
21	Určité
22	problémy
23	zazněly
24	i
25	na
26	pátečním
27	jednání
28	ligové
29	komise
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	2	case
2	hledání	NOUN	10	obl
3	své	DET	5	det
4	"	PUNCT	5	punct
5	parkety	NOUN	2	nmod
6	"	PUNCT	5	punct
7	ve	ADP	9	case
8	výkonném	ADJ	9	amod
9	výboru	NOUN	5	nmod
10	vychází	VERB	0	root
11	Leška	PROPN	10	nsubj
12	i	CCONJ	13	cc
13	Pelta	PROPN	11	conj
14	zejména	ADV	16	advmod:emph
15	ze	ADP	16	case
16	zkušeností	NOUN	10	obl:arg
17	z	ADP	18	case
18	klubů	NOUN	16	nmod
19	:	PUNCT	23	punct
20	"	PUNCT	23	punct
21	Určité	ADJ	22	amod
22	problémy	NOUN	23	nsubj
23	zazněly	VERB	10	conj
24	i	CCONJ	27	advmod:emph
25	na	ADP	27	case
26	pátečním	ADJ	27	amod
27	jednání	NOUN	23	obl
28	ligové	ADJ	29	amod
29	komise	NOUN	27	nmod
30	.	PUNCT	10	punct