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:
Cette intervention mauritanienne, a bénéficié de l'appui « technique et logistique » de la France, qui espérait libérer, du même coup, Michel Germaneau, retenu comme otage par AQMI.
Postion	Tokenization
1	Cette
2	intervention
3	mauritanienne
4	,
5	a
6	bénéficié
7	de
8	l'
9	appui
10	«
11	technique
12	et
13	logistique
14	»
15	de
16	la
17	France
18	,
19	qui
20	espérait
21	libérer
22	,
23	du
24	de
25	le
26	même
27	coup
28	,
29	Michel
30	Germaneau
31	,
32	retenu
33	comme
34	otage
35	par
36	AQMI
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	2	det
2	intervention	NOUN	6	nsubj
3	mauritanienne	ADJ	2	amod
4	,	PUNCT	2	punct
5	a	AUX	6	aux:tense
6	bénéficié	VERB	0	root
7	de	ADP	9	case
8	l'	DET	9	det
9	appui	NOUN	6	obl:arg
10	«	PUNCT	11	punct
11	technique	ADJ	9	amod
12	et	CCONJ	13	cc
13	logistique	ADJ	11	conj
14	»	PUNCT	11	punct
15	de	ADP	17	case
16	la	DET	17	det
17	France	PROPN	9	nmod
18	,	PUNCT	20	punct
19	qui	PRON	20	nsubj
20	espérait	VERB	17	acl:relcl
21	libérer	VERB	20	xcomp:obj
22	,	PUNCT	26	punct
23	du	_	None	_
24	de	ADP	26	case
25	le	DET	26	det
26	même	ADJ	26	amod
27	coup	NOUN	21	obl:mod
28	,	PUNCT	28	punct
29	Michel	PROPN	21	obj
30	Germaneau	PROPN	28	flat:name
31	,	PUNCT	31	punct
32	retenu	VERB	28	acl
33	comme	ADP	33	case
34	otage	NOUN	31	obl:mod
35	par	ADP	35	case
36	AQMI	PROPN	31	obl:agent
37	.	PUNCT	6	punct