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:
Notre enthousiasme est néanmoins vite calmé quand on voit la note légèrement épicée... mais quand on achète de la qualité, il faut en payer le prix et surtout : quand on aime, on ne compte pas !
Postion	Tokenization
1	Notre
2	enthousiasme
3	est
4	néanmoins
5	vite
6	calmé
7	quand
8	on
9	voit
10	la
11	note
12	légèrement
13	épicée
14	...
15	mais
16	quand
17	on
18	achète
19	de
20	la
21	qualité
22	,
23	il
24	faut
25	en
26	payer
27	le
28	prix
29	et
30	surtout
31	:
32	quand
33	on
34	aime
35	,
36	on
37	ne
38	compte
39	pas
40	!
Position	Tokenization	UPOS	Head	Deprel
1	Notre	DET	2	det
2	enthousiasme	NOUN	6	nsubj:pass
3	est	AUX	6	aux:pass
4	néanmoins	ADV	6	advmod
5	vite	ADV	6	advmod
6	calmé	VERB	0	root
7	quand	SCONJ	9	mark
8	on	PRON	9	nsubj
9	voit	VERB	6	advcl
10	la	DET	11	det
11	note	NOUN	9	obj
12	légèrement	ADV	13	advmod
13	épicée	ADJ	11	amod
14	...	PUNCT	24	punct
15	mais	CCONJ	24	cc
16	quand	SCONJ	18	mark
17	on	PRON	18	nsubj
18	achète	VERB	24	advcl
19	de	ADP	21	det
20	la	DET	19	fixed
21	qualité	NOUN	18	obj
22	,	PUNCT	18	punct
23	il	PRON	24	expl:subj
24	faut	VERB	6	conj
25	en	PRON	28	nmod
26	payer	VERB	24	ccomp:obj
27	le	DET	28	det
28	prix	NOUN	26	obj
29	et	CCONJ	38	cc
30	surtout	ADV	38	advmod
31	:	PUNCT	38	punct
32	quand	SCONJ	34	mark
33	on	PRON	34	nsubj
34	aime	VERB	38	advcl
35	,	PUNCT	34	punct
36	on	PRON	38	nsubj
37	ne	ADV	38	advmod
38	compte	VERB	24	conj
39	pas	ADV	38	advmod
40	!	PUNCT	6	punct