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:
Les ventes de SOS ont explosé la semaine juste avant qu'elle ne devienne numéro un grâce à Def Jam qui a proposé la chanson en téléchargement avant la sortie de A Girl like Me.
Postion	Tokenization
1	Les
2	ventes
3	de
4	SOS
5	ont
6	explosé
7	la
8	semaine
9	juste
10	avant
11	qu'
12	elle
13	ne
14	devienne
15	numéro
16	un
17	grâce
18	à
19	Def
20	Jam
21	qui
22	a
23	proposé
24	la
25	chanson
26	en
27	téléchargement
28	avant
29	la
30	sortie
31	de
32	A
33	Girl
34	like
35	Me
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	ventes	NOUN	6	nsubj
3	de	ADP	4	case
4	SOS	PROPN	2	nmod
5	ont	AUX	6	aux:tense
6	explosé	VERB	0	root
7	la	DET	8	det
8	semaine	NOUN	6	obl:mod
9	juste	ADV	14	advmod
10	avant	ADP	14	mark
11	qu'	SCONJ	14	mark
12	elle	PRON	14	nsubj
13	ne	ADV	14	advmod
14	devienne	VERB	8	acl
15	numéro	NOUN	14	xcomp:pred
16	un	NUM	15	nmod
17	grâce	NOUN	19	case
18	à	ADP	17	fixed
19	Def	PROPN	14	obl:mod
20	Jam	PROPN	19	flat:name
21	qui	PRON	23	nsubj
22	a	AUX	23	aux:tense
23	proposé	VERB	19	acl:relcl
24	la	DET	25	det
25	chanson	NOUN	23	obj
26	en	ADP	27	case
27	téléchargement	NOUN	23	obl:mod
28	avant	ADP	30	case
29	la	DET	30	det
30	sortie	NOUN	23	obl:mod
31	de	ADP	32	case
32	A	X	30	nmod
33	Girl	X	32	flat:foreign
34	like	X	33	flat:foreign
35	Me	X	34	flat:foreign
36	.	PUNCT	6	punct