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:
"Les mesures annoncées devraient rapporter autour de 6,6 milliards d'euros à l'Etat sur les deux prochaines années, puis l'effet s'épuisera rapidement à 1,1 milliard de recettes par an", relèvent les économistes d'Exane BNP Paribas dans une note publiée mardi.
Postion	Tokenization
1	"
2	Les
3	mesures
4	annoncées
5	devraient
6	rapporter
7	autour
8	de
9	6,6
10	milliards
11	d'
12	euros
13	à
14	l'
15	Etat
16	sur
17	les
18	deux
19	prochaines
20	années
21	,
22	puis
23	l'
24	effet
25	s'
26	épuisera
27	rapidement
28	à
29	1,1
30	milliard
31	de
32	recettes
33	par
34	an
35	"
36	,
37	relèvent
38	les
39	économistes
40	d'
41	Exane
42	BNP
43	Paribas
44	dans
45	une
46	note
47	publiée
48	mardi
49	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Les	DET	3	det
3	mesures	NOUN	5	nsubj
4	annoncées	ADJ	3	amod
5	devraient	VERB	0	root
6	rapporter	VERB	5	xcomp:obj
7	autour	ADV	6	obj
8	de	ADP	10	case
9	6,6	NUM	10	nummod
10	milliards	NOUN	7	obl:arg
11	d'	ADP	12	case
12	euros	NOUN	10	nmod
13	à	ADP	15	case
14	l'	DET	15	det
15	Etat	NOUN	6	obl:arg
16	sur	ADP	20	case
17	les	DET	20	det
18	deux	NUM	20	nummod
19	prochaines	ADJ	20	amod
20	années	NOUN	6	obl:mod
21	,	PUNCT	26	punct
22	puis	ADV	26	cc
23	l'	DET	24	det
24	effet	NOUN	26	nsubj:pass
25	s'	PRON	26	expl:pass
26	épuisera	VERB	5	conj
27	rapidement	ADV	26	advmod
28	à	ADP	30	case
29	1,1	NUM	30	nummod
30	milliard	NOUN	26	obl:arg
31	de	ADP	32	case
32	recettes	NOUN	30	nmod
33	par	ADP	34	case
34	an	NOUN	30	nmod
35	"	PUNCT	5	punct
36	,	PUNCT	37	punct
37	relèvent	VERB	5	parataxis
38	les	DET	39	det
39	économistes	NOUN	37	nsubj
40	d'	ADP	41	case
41	Exane	PROPN	39	nmod
42	BNP	PROPN	41	flat:name
43	Paribas	PROPN	42	flat:name
44	dans	ADP	46	case
45	une	DET	46	det
46	note	NOUN	37	obl:mod
47	publiée	VERB	46	acl
48	mardi	NOUN	47	obl:mod
49	.	PUNCT	5	punct