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:
L'album sera vendu à plus de 12 millions de copies au niveau mondial, ce qui établit la popularité internationale de la chanteuse.
Postion	Tokenization
1	L'
2	album
3	sera
4	vendu
5	à
6	plus
7	de
8	12
9	millions
10	de
11	copies
12	au
13	à
14	le
15	niveau
16	mondial
17	,
18	ce
19	qui
20	établit
21	la
22	popularité
23	internationale
24	de
25	la
26	chanteuse
27	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	album	NOUN	4	nsubj
3	sera	AUX	4	aux:tense
4	vendu	VERB	0	root
5	à	ADP	6	case
6	plus	ADV	4	obl:mod
7	de	ADP	9	case
8	12	NUM	9	nummod
9	millions	NOUN	6	dep:comp
10	de	ADP	11	case
11	copies	NOUN	9	nmod
12	au	_	None	_
13	à	ADP	14	case
14	le	DET	14	det
15	niveau	NOUN	4	obl:mod
16	mondial	ADJ	14	amod
17	,	PUNCT	17	punct
18	ce	PRON	4	parataxis
19	qui	PRON	19	nsubj
20	établit	VERB	17	acl:relcl
21	la	DET	21	det
22	popularité	NOUN	19	obj
23	internationale	ADJ	21	amod
24	de	ADP	25	case
25	la	DET	25	det
26	chanteuse	NOUN	21	nmod
27	.	PUNCT	4	punct