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:
Sa carrière amateur est principalement marquée par une médaille d'argent remportée aux Jeux méditerranéens de Pescara en 2009 dans la catégorie poids welters.
Postion	Tokenization
1	Sa
2	carrière
3	amateur
4	est
5	principalement
6	marquée
7	par
8	une
9	médaille
10	d'
11	argent
12	remportée
13	aux
14	à
15	les
16	Jeux
17	méditerranéens
18	de
19	Pescara
20	en
21	2009
22	dans
23	la
24	catégorie
25	poids
26	welters
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Sa	DET	2	det
2	carrière	NOUN	6	nsubj:pass
3	amateur	ADJ	2	amod
4	est	AUX	6	aux:pass
5	principalement	ADV	6	advmod
6	marquée	VERB	0	root
7	par	ADP	9	case
8	une	DET	9	det
9	médaille	NOUN	6	obl:agent
10	d'	ADP	11	case
11	argent	NOUN	9	nmod
12	remportée	VERB	9	acl
13	aux	_	None	_
14	à	ADP	15	case
15	les	DET	15	det
16	Jeux	NOUN	12	obl:mod
17	méditerranéens	ADJ	15	amod
18	de	ADP	18	case
19	Pescara	PROPN	15	nmod
20	en	ADP	20	case
21	2009	NUM	12	obl:mod
22	dans	ADP	23	case
23	la	DET	23	det
24	catégorie	NOUN	12	obl:mod
25	poids	NOUN	23	appos
26	welters	X	24	appos
27	.	PUNCT	6	punct