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:
Ainsi, le rabais social dont bénéficient les foyers les plus modestes sera augmenté de 20% (de 118 à 142 euros pour un foyer de 4 personnes qui se chauffe au gaz).
Postion	Tokenization
1	Ainsi
2	,
3	le
4	rabais
5	social
6	dont
7	bénéficient
8	les
9	foyers
10	les
11	plus
12	modestes
13	sera
14	augmenté
15	de
16	20
17	%
18	(
19	de
20	118
21	à
22	142
23	euros
24	pour
25	un
26	foyer
27	de
28	4
29	personnes
30	qui
31	se
32	chauffe
33	au
34	à
35	le
36	gaz
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	14	advmod
2	,	PUNCT	1	punct
3	le	DET	4	det
4	rabais	NOUN	14	nsubj:pass
5	social	ADJ	4	amod
6	dont	PRON	7	obl:arg
7	bénéficient	VERB	4	acl:relcl
8	les	DET	9	det
9	foyers	NOUN	7	nsubj
10	les	DET	12	advmod
11	plus	ADV	10	fixed
12	modestes	ADJ	9	amod
13	sera	AUX	14	aux:pass
14	augmenté	VERB	0	root
15	de	ADP	17	case
16	20	NUM	17	nummod
17	%	SYM	14	obl:mod
18	(	PUNCT	20	punct
19	de	ADP	20	case
20	118	NUM	17	appos
21	à	ADP	23	case
22	142	NUM	23	nummod
23	euros	NOUN	20	nmod
24	pour	ADP	26	case
25	un	DET	26	det
26	foyer	NOUN	20	nmod
27	de	ADP	29	case
28	4	NUM	29	nummod
29	personnes	NOUN	26	nmod
30	qui	PRON	32	nsubj
31	se	PRON	32	obj
32	chauffe	VERB	26	acl:relcl
33	au	_	None	_
34	à	ADP	35	case
35	le	DET	35	det
36	gaz	NOUN	32	obl:mod
37	)	PUNCT	20	punct
38	.	PUNCT	14	punct