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:
Ce qui sera la meilleure première semaine des ventes d'Alicia, et ce sera, dans le même temps son quatrième album se plaçant consécutivement au classement Billboard 200, dès sa sortie.
Postion	Tokenization
1	Ce
2	qui
3	sera
4	la
5	meilleure
6	première
7	semaine
8	des
9	de
10	les
11	ventes
12	d'
13	Alicia
14	,
15	et
16	ce
17	sera
18	,
19	dans
20	le
21	même
22	temps
23	son
24	quatrième
25	album
26	se
27	plaçant
28	consécutivement
29	au
30	à
31	le
32	classement
33	Billboard
34	200
35	,
36	dès
37	sa
38	sortie
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	PRON	0	root
2	qui	PRON	7	nsubj
3	sera	AUX	7	cop
4	la	DET	7	det
5	meilleure	ADJ	7	amod
6	première	ADJ	7	amod
7	semaine	NOUN	1	acl:relcl
8	des	_	None	_
9	de	ADP	10	case
10	les	DET	10	det
11	ventes	NOUN	7	nmod
12	d'	ADP	12	case
13	Alicia	PROPN	10	nmod
14	,	PUNCT	16	punct
15	et	CCONJ	16	cc
16	ce	PRON	16	nsubj
17	sera	VERB	7	conj
18	,	PUNCT	21	punct
19	dans	ADP	21	case
20	le	DET	21	det
21	même	ADJ	21	amod
22	temps	NOUN	16	obl:mod
23	son	DET	24	det
24	quatrième	ADJ	24	amod
25	album	NOUN	26	nsubj:pass
26	se	PRON	26	expl:pass
27	plaçant	VERB	16	advcl
28	consécutivement	ADV	26	advmod
29	au	_	None	_
30	à	ADP	30	case
31	le	DET	30	det
32	classement	NOUN	26	obl:arg
33	Billboard	PROPN	30	appos
34	200	NUM	31	nmod
35	,	PUNCT	36	punct
36	dès	ADP	36	case
37	sa	DET	36	det
38	sortie	NOUN	26	obl:mod
39	.	PUNCT	1	punct