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'analyse prédictive peut aider à optimiser les sommes allouées au recouvrement en identifiant les agences les plus efficaces, les stratégies de contact, les actions judiciaires et autres pour chaque client, afin d'augmenter le taux de recouvrement tout en réduisant les coûts.
Postion	Tokenization
1	L'
2	analyse
3	prédictive
4	peut
5	aider
6	à
7	optimiser
8	les
9	sommes
10	allouées
11	au
12	à
13	le
14	recouvrement
15	en
16	identifiant
17	les
18	agences
19	les
20	plus
21	efficaces
22	,
23	les
24	stratégies
25	de
26	contact
27	,
28	les
29	actions
30	judiciaires
31	et
32	autres
33	pour
34	chaque
35	client
36	,
37	afin
38	d'
39	augmenter
40	le
41	taux
42	de
43	recouvrement
44	tout
45	en
46	réduisant
47	les
48	coûts
49	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	analyse	NOUN	4	nsubj
3	prédictive	ADJ	2	amod
4	peut	VERB	0	root
5	aider	VERB	4	xcomp:obj
6	à	ADP	7	mark
7	optimiser	VERB	5	xcomp:obl
8	les	DET	9	det
9	sommes	NOUN	7	obj
10	allouées	VERB	9	acl
11	au	_	None	_
12	à	ADP	13	case
13	le	DET	13	det
14	recouvrement	NOUN	10	obl:arg
15	en	ADP	15	mark
16	identifiant	VERB	5	advcl
17	les	DET	17	det
18	agences	NOUN	15	obj
19	les	DET	20	advmod
20	plus	ADV	18	fixed
21	efficaces	ADJ	17	amod
22	,	PUNCT	23	punct
23	les	DET	23	det
24	stratégies	NOUN	17	conj
25	de	ADP	25	case
26	contact	NOUN	23	nmod
27	,	PUNCT	28	punct
28	les	DET	28	det
29	actions	NOUN	17	conj
30	judiciaires	ADJ	28	amod
31	et	CCONJ	31	cc
32	autres	ADJ	29	conj
33	pour	ADP	34	case
34	chaque	DET	34	det
35	client	NOUN	15	obl:mod
36	,	PUNCT	36	punct
37	afin	ADV	5	advmod
38	d'	ADP	38	mark
39	augmenter	VERB	36	ccomp:obj
40	le	DET	40	det
41	taux	NOUN	38	obj
42	de	ADP	42	case
43	recouvrement	NOUN	40	nmod
44	tout	ADV	45	mark
45	en	ADP	43	fixed
46	réduisant	VERB	38	advcl
47	les	DET	47	det
48	coûts	NOUN	45	obj
49	.	PUNCT	4	punct