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:
Třicetiletý profesionál se podrobil 15. května po třetí etapě závodu Tour de L'Oise ve Francii dopingovému testu, jehož výsledek odhalil přítomnost ve Francii zakázaného povzbuzujícího prostředku salbutamolu.
Postion	Tokenization
1	Třicetiletý
2	profesionál
3	se
4	podrobil
5	15
6	.
7	května
8	po
9	třetí
10	etapě
11	závodu
12	Tour
13	de
14	L
15	'
16	Oise
17	ve
18	Francii
19	dopingovému
20	testu
21	,
22	jehož
23	výsledek
24	odhalil
25	přítomnost
26	ve
27	Francii
28	zakázaného
29	povzbuzujícího
30	prostředku
31	salbutamolu
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Třicetiletý	ADJ	2	amod
2	profesionál	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	podrobil	VERB	0	root
5	15	NUM	7	nummod
6	.	PUNCT	5	punct
7	května	NOUN	4	obl
8	po	ADP	10	case
9	třetí	ADJ	10	amod
10	etapě	NOUN	4	obl
11	závodu	NOUN	10	nmod
12	Tour	PROPN	11	nmod
13	de	ADP	12	flat:foreign
14	L	ADJ	12	amod
15	'	PUNCT	14	punct
16	Oise	PROPN	12	flat:foreign
17	ve	ADP	18	case
18	Francii	PROPN	11	nmod
19	dopingovému	ADJ	20	amod
20	testu	NOUN	4	obl:arg
21	,	PUNCT	24	punct
22	jehož	PRON	23	nmod
23	výsledek	NOUN	24	nsubj
24	odhalil	VERB	20	acl:relcl
25	přítomnost	NOUN	24	obj
26	ve	ADP	27	case
27	Francii	PROPN	28	obl
28	zakázaného	ADJ	30	amod
29	povzbuzujícího	ADJ	30	amod
30	prostředku	NOUN	25	nmod
31	salbutamolu	NOUN	30	nmod
32	.	PUNCT	4	punct