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:
Un grand merci pour votre formation qui m'a permis de compléter mes connaissances concernant l'utilisation des réseaux sociaux et les éléments-clés du Community Management.
Postion	Tokenization
1	Un
2	grand
3	merci
4	pour
5	votre
6	formation
7	qui
8	m'
9	a
10	permis
11	de
12	compléter
13	mes
14	connaissances
15	concernant
16	l'
17	utilisation
18	des
19	de
20	les
21	réseaux
22	sociaux
23	et
24	les
25	éléments-clés
26	du
27	de
28	le
29	Community
30	Management
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	3	det
2	grand	ADJ	3	amod
3	merci	NOUN	0	root
4	pour	ADP	6	case
5	votre	DET	6	det
6	formation	NOUN	3	nmod
7	qui	PRON	10	nsubj
8	m'	PRON	10	obl:arg
9	a	AUX	10	aux:tense
10	permis	VERB	6	acl:relcl
11	de	ADP	12	mark
12	compléter	VERB	10	xcomp:obj
13	mes	DET	14	det
14	connaissances	NOUN	12	obj
15	concernant	VERB	14	acl
16	l'	DET	17	det
17	utilisation	NOUN	15	obj
18	des	_	None	_
19	de	ADP	20	case
20	les	DET	20	det
21	réseaux	NOUN	17	nmod
22	sociaux	ADJ	20	amod
23	et	CCONJ	24	cc
24	les	DET	24	det
25	éléments-clés	NOUN	17	conj
26	du	_	None	_
27	de	ADP	27	case
28	le	DET	27	det
29	Community	PROPN	24	nmod
30	Management	PROPN	27	flat:name
31	.	PUNCT	3	punct