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:
Malgré son rang de 2e puissance économique mondiale, un taux de développement maintenu au stade de 8% pour plusieurs années consécutives, la Chine fait face à de sérieux problèmes.
Postion	Tokenization
1	Malgré
2	son
3	rang
4	de
5	2e
6	puissance
7	économique
8	mondiale
9	,
10	un
11	taux
12	de
13	développement
14	maintenu
15	au
16	à
17	le
18	stade
19	de
20	8
21	%
22	pour
23	plusieurs
24	années
25	consécutives
26	,
27	la
28	Chine
29	fait
30	face
31	à
32	de
33	sérieux
34	problèmes
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Malgré	ADP	3	case
2	son	DET	3	det
3	rang	NOUN	28	obl:mod
4	de	ADP	6	case
5	2e	ADJ	6	amod
6	puissance	NOUN	3	nmod
7	économique	ADJ	6	amod
8	mondiale	ADJ	6	amod
9	,	PUNCT	11	punct
10	un	DET	11	det
11	taux	NOUN	3	conj
12	de	ADP	13	case
13	développement	NOUN	11	nmod
14	maintenu	VERB	11	acl
15	au	_	None	_
16	à	ADP	17	case
17	le	DET	17	det
18	stade	NOUN	14	obl:arg
19	de	ADP	20	case
20	8	NUM	20	nummod
21	%	SYM	17	nmod
22	pour	ADP	23	case
23	plusieurs	DET	23	det
24	années	NOUN	14	obl:mod
25	consécutives	ADJ	23	amod
26	,	PUNCT	3	punct
27	la	DET	27	det
28	Chine	PROPN	28	nsubj
29	fait	VERB	0	root
30	face	NOUN	28	obj:lvc
31	à	ADP	33	case
32	de	DET	33	det
33	sérieux	ADJ	33	amod
34	problèmes	NOUN	29	dep:comp
35	.	PUNCT	28	punct