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:
Au total quelque trente institutions financières avaient déposé des plaintes pour réclamer 22 milliards de dollars au titre de la restitution de leurs investissements dans des produits dérivés.
Postion	Tokenization
1	Au
2	à
3	le
4	total
5	quelque
6	trente
7	institutions
8	financières
9	avaient
10	déposé
11	des
12	plaintes
13	pour
14	réclamer
15	22
16	milliards
17	de
18	dollars
19	au
20	à
21	le
22	titre
23	de
24	la
25	restitution
26	de
27	leurs
28	investissements
29	dans
30	des
31	produits
32	dérivés
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	6	advmod
3	le	DET	1	fixed
4	total	NOUN	1	fixed
5	quelque	ADV	5	advmod
6	trente	NUM	6	nummod
7	institutions	NOUN	9	nsubj
8	financières	ADJ	6	amod
9	avaient	AUX	9	aux:tense
10	déposé	VERB	0	root
11	des	DET	11	det
12	plaintes	NOUN	9	obj
13	pour	ADP	13	mark
14	réclamer	VERB	9	advcl
15	22	NUM	15	nummod
16	milliards	NOUN	13	obj
17	de	ADP	17	case
18	dollars	NOUN	15	nmod
19	au	_	None	_
20	à	ADP	20	case
21	le	DET	20	det
22	titre	NOUN	13	obl:mod
23	de	ADP	23	case
24	la	DET	23	det
25	restitution	NOUN	20	nmod
26	de	ADP	26	case
27	leurs	DET	26	det
28	investissements	NOUN	23	nmod
29	dans	ADP	29	case
30	des	DET	29	det
31	produits	NOUN	26	nmod
32	dérivés	VERB	29	acl
33	.	PUNCT	9	punct