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:
Il débute sa carrière professionnelle en 2008 en France, pays dont il a pris la nationalité, avec l'ALM Évreux Basket, club de Pro B.
Postion	Tokenization
1	Il
2	débute
3	sa
4	carrière
5	professionnelle
6	en
7	2008
8	en
9	France
10	,
11	pays
12	dont
13	il
14	a
15	pris
16	la
17	nationalité
18	,
19	avec
20	l'
21	ALM
22	Évreux
23	Basket
24	,
25	club
26	de
27	Pro
28	B.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	débute	VERB	0	root
3	sa	DET	4	det
4	carrière	NOUN	2	obj
5	professionnelle	ADJ	4	amod
6	en	ADP	7	case
7	2008	NUM	2	obl:mod
8	en	ADP	9	case
9	France	PROPN	2	obl:mod
10	,	PUNCT	11	punct
11	pays	NOUN	9	appos
12	dont	PRON	17	nmod
13	il	PRON	15	nsubj
14	a	AUX	15	aux:tense
15	pris	VERB	11	acl:relcl
16	la	DET	17	det
17	nationalité	NOUN	15	obj
18	,	PUNCT	21	punct
19	avec	ADP	21	case
20	l'	DET	21	det
21	ALM	PROPN	2	obl:mod
22	Évreux	PROPN	21	flat:name
23	Basket	PROPN	22	flat:name
24	,	PUNCT	25	punct
25	club	NOUN	21	appos
26	de	ADP	27	case
27	Pro	PROPN	25	nmod
28	B.	PROPN	27	flat:name