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:
je ne saurai que trop vous conseiller cette entreprise pour la qualité de ses réalisations, l'écoute apportée au besoin du client et la gentillesse de son accueil.
Postion	Tokenization
1	je
2	ne
3	saurai
4	que
5	trop
6	vous
7	conseiller
8	cette
9	entreprise
10	pour
11	la
12	qualité
13	de
14	ses
15	réalisations
16	,
17	l'
18	écoute
19	apportée
20	au
21	à
22	le
23	besoin
24	du
25	de
26	le
27	client
28	et
29	la
30	gentillesse
31	de
32	son
33	accueil
34	.
Position	Tokenization	UPOS	Head	Deprel
1	je	PRON	3	nsubj
2	ne	ADV	3	advmod
3	saurai	VERB	0	root
4	que	ADV	5	advmod
5	trop	ADV	7	advmod
6	vous	PRON	7	obl:arg
7	conseiller	VERB	3	xcomp:obj
8	cette	DET	9	det
9	entreprise	NOUN	7	obj
10	pour	ADP	12	case
11	la	DET	12	det
12	qualité	NOUN	7	obl:mod
13	de	ADP	15	case
14	ses	DET	15	det
15	réalisations	NOUN	12	nmod
16	,	PUNCT	18	punct
17	l'	DET	18	det
18	écoute	NOUN	12	conj
19	apportée	VERB	18	acl
20	au	_	None	_
21	à	ADP	22	case
22	le	DET	22	det
23	besoin	NOUN	19	obl:arg
24	du	_	None	_
25	de	ADP	25	case
26	le	DET	25	det
27	client	NOUN	22	nmod
28	et	CCONJ	28	cc
29	la	DET	28	det
30	gentillesse	NOUN	12	conj
31	de	ADP	31	case
32	son	DET	31	det
33	accueil	NOUN	28	nmod
34	.	PUNCT	3	punct