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:
L'objectif principal du fonds consistait à profiter des opportunités d'arbitrage sur les marchés de taux d'intérêt grâce à une approche purement quantitative et mathématique.
Postion	Tokenization
1	L'
2	objectif
3	principal
4	du
5	de
6	le
7	fonds
8	consistait
9	à
10	profiter
11	des
12	de
13	les
14	opportunités
15	d'
16	arbitrage
17	sur
18	les
19	marchés
20	de
21	taux
22	d'
23	intérêt
24	grâce
25	à
26	une
27	approche
28	purement
29	quantitative
30	et
31	mathématique
32	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	objectif	NOUN	7	nsubj
3	principal	ADJ	2	amod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	fonds	NOUN	2	nmod
8	consistait	VERB	0	root
9	à	ADP	9	mark
10	profiter	VERB	7	xcomp:obl
11	des	_	None	_
12	de	ADP	12	case
13	les	DET	12	det
14	opportunités	NOUN	9	obl:arg
15	d'	ADP	14	case
16	arbitrage	NOUN	12	nmod
17	sur	ADP	17	case
18	les	DET	17	det
19	marchés	NOUN	9	obl:mod
20	de	ADP	19	case
21	taux	NOUN	17	nmod
22	d'	ADP	21	case
23	intérêt	NOUN	19	nmod
24	grâce	NOUN	25	case
25	à	ADP	22	fixed
26	une	DET	25	det
27	approche	NOUN	9	obl:mod
28	purement	ADV	27	advmod
29	quantitative	ADJ	25	amod
30	et	CCONJ	29	cc
31	mathématique	ADJ	27	conj
32	.	PUNCT	7	punct