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:
Suite au suivi de Madame Flipo, j'ai perdu 5 kilos en 2 mois grâce à son programme diététique, qui m'a permis de mettre en place des repas plus équilibrés et correspondant à mes goûts.
Postion	Tokenization
1	Suite
2	au
3	à
4	le
5	suivi
6	de
7	Madame
8	Flipo
9	,
10	j'
11	ai
12	perdu
13	5
14	kilos
15	en
16	2
17	mois
18	grâce
19	à
20	son
21	programme
22	diététique
23	,
24	qui
25	m'
26	a
27	permis
28	de
29	mettre
30	en
31	place
32	des
33	repas
34	plus
35	équilibrés
36	et
37	correspondant
38	à
39	mes
40	goûts
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Suite	NOUN	4	case
2	au	_	None	_
3	à	ADP	1	fixed
4	le	DET	4	det
5	suivi	NOUN	11	obl:mod
6	de	ADP	6	case
7	Madame	NOUN	4	nmod
8	Flipo	PROPN	6	appos
9	,	PUNCT	4	punct
10	j'	PRON	11	nsubj
11	ai	AUX	11	aux:tense
12	perdu	VERB	0	root
13	5	NUM	13	nummod
14	kilos	NOUN	11	obj
15	en	ADP	16	case
16	2	NUM	16	nummod
17	mois	NOUN	11	obl:mod
18	grâce	NOUN	20	case
19	à	ADP	17	fixed
20	son	DET	20	det
21	programme	NOUN	11	obl:mod
22	diététique	ADJ	20	amod
23	,	PUNCT	26	punct
24	qui	PRON	26	nsubj
25	m'	PRON	26	obl:arg
26	a	AUX	26	aux:tense
27	permis	VERB	20	acl:relcl
28	de	ADP	28	mark
29	mettre	VERB	26	xcomp:obj
30	en	ADP	30	case
31	place	NOUN	28	obl:mod
32	des	DET	32	det
33	repas	NOUN	28	obj
34	plus	ADV	34	advmod
35	équilibrés	ADJ	32	amod
36	et	CCONJ	36	cc
37	correspondant	VERB	34	conj
38	à	ADP	39	case
39	mes	DET	39	det
40	goûts	NOUN	36	obl:arg
41	.	PUNCT	11	punct