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:
Perfektní byli diváci (rekordních 4500 - pozn. red.) a konečně se zlepšil i terén, liboval si trenér celku Karviná/Vítkovice Lubomír Vašek.
Postion	Tokenization
1	Perfektní
2	byli
3	diváci
4	(
5	rekordních
6	4500
7	-
8	pozn
9	.
10	red
11	.
12	)
13	a
14	konečně
15	se
16	zlepšil
17	i
18	terén
19	,
20	liboval
21	si
22	trenér
23	celku
24	Karviná
25	/
26	Vítkovice
27	Lubomír
28	Vašek
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Perfektní	ADJ	0	root
2	byli	AUX	1	cop
3	diváci	NOUN	1	nsubj
4	(	PUNCT	6	punct
5	rekordních	ADJ	6	amod
6	4500	NUM	3	appos
7	-	PUNCT	8	punct
8	pozn	NOUN	6	dep
9	.	PUNCT	8	punct
10	red	NOUN	8	nmod
11	.	PUNCT	10	punct
12	)	PUNCT	6	punct
13	a	CCONJ	16	cc
14	konečně	ADV	16	advmod
15	se	PRON	16	expl:pass
16	zlepšil	VERB	1	conj
17	i	CCONJ	18	advmod:emph
18	terén	NOUN	16	nsubj:pass
19	,	PUNCT	20	punct
20	liboval	VERB	1	conj
21	si	PRON	20	expl:pv
22	trenér	NOUN	20	nsubj
23	celku	NOUN	22	nmod
24	Karviná	PROPN	23	nmod
25	/	PUNCT	26	punct
26	Vítkovice	PROPN	24	conj
27	Lubomír	PROPN	22	flat
28	Vašek	PROPN	22	flat
29	.	PUNCT	1	punct