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:
Šestadvacetiletý bývalý světový rekordman v hodinovce a mistr světa ze stíhacího závodu v Palermu dominoval naprosto jasně a na druhého v cíli, domácího Andreu Chiurata, najel 48 sekund.
Postion	Tokenization
1	Šestadvacetiletý
2	bývalý
3	světový
4	rekordman
5	v
6	hodinovce
7	a
8	mistr
9	světa
10	ze
11	stíhacího
12	závodu
13	v
14	Palermu
15	dominoval
16	naprosto
17	jasně
18	a
19	na
20	druhého
21	v
22	cíli
23	,
24	domácího
25	Andreu
26	Chiurata
27	,
28	najel
29	48
30	sekund
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Šestadvacetiletý	ADJ	4	amod
2	bývalý	ADJ	4	amod
3	světový	ADJ	4	amod
4	rekordman	NOUN	15	nsubj
5	v	ADP	6	case
6	hodinovce	NOUN	4	nmod
7	a	CCONJ	8	cc
8	mistr	NOUN	4	conj
9	světa	NOUN	8	nmod
10	ze	ADP	12	case
11	stíhacího	ADJ	12	amod
12	závodu	NOUN	8	nmod
13	v	ADP	14	case
14	Palermu	PROPN	12	nmod
15	dominoval	VERB	0	root
16	naprosto	ADV	17	advmod
17	jasně	ADV	15	advmod
18	a	CCONJ	28	cc
19	na	ADP	20	case
20	druhého	ADJ	28	dep
21	v	ADP	22	case
22	cíli	NOUN	20	obl
23	,	PUNCT	25	punct
24	domácího	ADJ	25	amod
25	Andreu	PROPN	20	appos
26	Chiurata	PROPN	25	flat
27	,	PUNCT	25	punct
28	najel	VERB	15	conj
29	48	NUM	30	nummod:gov
30	sekund	NOUN	28	obl
31	.	PUNCT	15	punct