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:
Pro nejcennější medaili si na MS v Agrigentu na Sicílii dojel v silničním cyklistickém závodě profesionálů osmadvacetiletý Francouz Luc Leblanc, který v závěrečném stoupání ukázal domácím závodníkům záda.
Postion	Tokenization
1	Pro
2	nejcennější
3	medaili
4	si
5	na
6	MS
7	v
8	Agrigentu
9	na
10	Sicílii
11	dojel
12	v
13	silničním
14	cyklistickém
15	závodě
16	profesionálů
17	osmadvacetiletý
18	Francouz
19	Luc
20	Leblanc
21	,
22	který
23	v
24	závěrečném
25	stoupání
26	ukázal
27	domácím
28	závodníkům
29	záda
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Pro	ADP	3	case
2	nejcennější	ADJ	3	amod
3	medaili	NOUN	11	obl
4	si	PRON	11	obl
5	na	ADP	6	case
6	MS	NOUN	11	obl
7	v	ADP	8	case
8	Agrigentu	PROPN	6	nmod
9	na	ADP	10	case
10	Sicílii	PROPN	8	nmod
11	dojel	VERB	0	root
12	v	ADP	15	case
13	silničním	ADJ	15	amod
14	cyklistickém	ADJ	15	amod
15	závodě	NOUN	11	obl
16	profesionálů	NOUN	15	nmod
17	osmadvacetiletý	ADJ	18	amod
18	Francouz	PROPN	11	nsubj
19	Luc	PROPN	18	flat
20	Leblanc	PROPN	18	flat
21	,	PUNCT	26	punct
22	který	DET	26	nsubj
23	v	ADP	25	case
24	závěrečném	ADJ	25	amod
25	stoupání	NOUN	26	obl
26	ukázal	VERB	18	acl:relcl
27	domácím	ADJ	28	amod
28	závodníkům	NOUN	26	obl:arg
29	záda	NOUN	26	obj
30	.	PUNCT	11	punct