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:
En effet, dans le cadre de la théorie néoclassique, l'agent économique cherche à maximiser son utilité et lorsqu'il est amené à faire un arbitrage entre consommation et épargne, il va considérer ce que lui rapportera l'épargne, autrement dit, il va considérer le taux d'intérêt.
Postion	Tokenization
1	En
2	effet
3	,
4	dans
5	le
6	cadre
7	de
8	la
9	théorie
10	néoclassique
11	,
12	l'
13	agent
14	économique
15	cherche
16	à
17	maximiser
18	son
19	utilité
20	et
21	lorsqu'
22	il
23	est
24	amené
25	à
26	faire
27	un
28	arbitrage
29	entre
30	consommation
31	et
32	épargne
33	,
34	il
35	va
36	considérer
37	ce
38	que
39	lui
40	rapportera
41	l'
42	épargne
43	,
44	autrement
45	dit
46	,
47	il
48	va
49	considérer
50	le
51	taux
52	d'
53	intérêt
54	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	15	advmod
2	effet	NOUN	1	fixed
3	,	PUNCT	1	punct
4	dans	ADP	6	case
5	le	DET	6	det
6	cadre	NOUN	15	obl:mod
7	de	ADP	9	case
8	la	DET	9	det
9	théorie	NOUN	6	nmod
10	néoclassique	ADJ	9	amod
11	,	PUNCT	6	punct
12	l'	DET	13	det
13	agent	NOUN	15	nsubj
14	économique	ADJ	13	amod
15	cherche	VERB	0	root
16	à	ADP	17	mark
17	maximiser	VERB	15	xcomp:obl
18	son	DET	19	det
19	utilité	NOUN	17	obj
20	et	CCONJ	35	cc
21	lorsqu'	SCONJ	24	mark
22	il	PRON	24	nsubj
23	est	AUX	24	aux:tense
24	amené	VERB	35	advcl
25	à	ADP	26	mark
26	faire	VERB	24	xcomp:obl
27	un	DET	28	det
28	arbitrage	NOUN	26	obj
29	entre	ADP	30	case
30	consommation	NOUN	28	nmod
31	et	CCONJ	32	cc
32	épargne	NOUN	30	conj
33	,	PUNCT	24	punct
34	il	PRON	35	nsubj
35	va	VERB	15	conj
36	considérer	VERB	35	xcomp:obj
37	ce	PRON	36	obj
38	que	PRON	40	obj
39	lui	PRON	40	obl:arg
40	rapportera	VERB	37	acl:relcl
41	l'	DET	42	det
42	épargne	NOUN	40	nsubj
43	,	PUNCT	48	punct
44	autrement	ADV	45	advmod
45	dit	VERB	48	advcl
46	,	PUNCT	45	punct
47	il	PRON	48	nsubj
48	va	VERB	36	conj
49	considérer	VERB	48	xcomp:obj
50	le	DET	51	det
51	taux	NOUN	49	obj
52	d'	ADP	53	case
53	intérêt	NOUN	51	nmod
54	.	PUNCT	15	punct