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:
Robert Změlík je největším favoritem zítřejšího hodinového desetiboje, který na stadiónu TJ Vítkovice pořádají vítkovičtí atleti spolu se svým sponzorem firmou Vopet od 18 hodin.
Postion	Tokenization
1	Robert
2	Změlík
3	je
4	největším
5	favoritem
6	zítřejšího
7	hodinového
8	desetiboje
9	,
10	který
11	na
12	stadiónu
13	TJ
14	Vítkovice
15	pořádají
16	vítkovičtí
17	atleti
18	spolu
19	se
20	svým
21	sponzorem
22	firmou
23	Vopet
24	od
25	18
26	hodin
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Robert	PROPN	5	nsubj
2	Změlík	PROPN	1	flat
3	je	AUX	5	cop
4	největším	ADJ	5	amod
5	favoritem	NOUN	0	root
6	zítřejšího	ADJ	8	amod
7	hodinového	ADJ	8	amod
8	desetiboje	NOUN	5	nmod
9	,	PUNCT	15	punct
10	který	DET	15	obj
11	na	ADP	12	case
12	stadiónu	NOUN	15	obl
13	TJ	PROPN	12	nmod
14	Vítkovice	PROPN	13	nmod
15	pořádají	VERB	8	acl:relcl
16	vítkovičtí	ADJ	17	amod
17	atleti	NOUN	15	nsubj
18	spolu	ADV	21	case
19	se	ADP	18	fixed
20	svým	DET	21	det
21	sponzorem	NOUN	15	obl
22	firmou	NOUN	21	nmod
23	Vopet	PROPN	22	nmod
24	od	ADP	26	case
25	18	NUM	26	nummod
26	hodin	NOUN	15	obl
27	.	PUNCT	5	punct