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:
L'accueil est plutôt bon, mais c'est surtout les massages et soins qui valent le coup pour un rapport qualité/prix excellent !
Postion	Tokenization
1	L'
2	accueil
3	est
4	plutôt
5	bon
6	,
7	mais
8	c'
9	est
10	surtout
11	les
12	massages
13	et
14	soins
15	qui
16	valent
17	le
18	coup
19	pour
20	un
21	rapport
22	qualité
23	/
24	prix
25	excellent
26	!
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	accueil	NOUN	5	nsubj
3	est	AUX	5	cop
4	plutôt	ADV	5	advmod
5	bon	ADJ	0	root
6	,	PUNCT	12	punct
7	mais	CCONJ	12	cc
8	c'	PRON	12	nsubj
9	est	AUX	12	cop
10	surtout	ADV	12	advmod
11	les	DET	12	det
12	massages	NOUN	5	conj
13	et	CCONJ	14	cc
14	soins	NOUN	12	conj
15	qui	PRON	16	nsubj
16	valent	VERB	12	acl:relcl
17	le	DET	18	det
18	coup	NOUN	16	obj
19	pour	ADP	21	case
20	un	DET	21	det
21	rapport	NOUN	16	obl:mod
22	qualité	NOUN	21	nmod
23	/	SYM	24	cc
24	prix	NOUN	22	conj
25	excellent	ADJ	21	amod
26	!	PUNCT	5	punct