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:
Depuis ses débuts en 2000, il est devenu une référence dans le milieu du conte, créant notamment deux albums et un spectacle avec Pascal Lamour.
Postion	Tokenization
1	Depuis
2	ses
3	débuts
4	en
5	2000
6	,
7	il
8	est
9	devenu
10	une
11	référence
12	dans
13	le
14	milieu
15	du
16	de
17	le
18	conte
19	,
20	créant
21	notamment
22	deux
23	albums
24	et
25	un
26	spectacle
27	avec
28	Pascal
29	Lamour
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Depuis	ADP	3	case
2	ses	DET	3	det
3	débuts	NOUN	9	obl:mod
4	en	ADP	5	case
5	2000	NUM	3	nmod
6	,	PUNCT	3	punct
7	il	PRON	9	nsubj
8	est	AUX	9	aux:tense
9	devenu	VERB	0	root
10	une	DET	11	det
11	référence	NOUN	9	xcomp:pred
12	dans	ADP	14	case
13	le	DET	14	det
14	milieu	NOUN	9	obl:mod
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	conte	NOUN	14	nmod
19	,	PUNCT	19	punct
20	créant	VERB	9	advcl
21	notamment	ADV	19	advmod
22	deux	NUM	22	nummod
23	albums	NOUN	19	obj
24	et	CCONJ	25	cc
25	un	DET	25	det
26	spectacle	NOUN	22	conj
27	avec	ADP	27	case
28	Pascal	PROPN	19	obl:mod
29	Lamour	PROPN	27	flat:name
30	.	PUNCT	9	punct