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 suis allé deux fois chez fleur de sushi et à chaque fois j'ai trouvé la nouriture excellente avec un cadre agréable et des serveuses souriantes et très agréables.
Postion	Tokenization
1	Je
2	suis
3	allé
4	deux
5	fois
6	chez
7	fleur
8	de
9	sushi
10	et
11	à
12	chaque
13	fois
14	j'
15	ai
16	trouvé
17	la
18	nouriture
19	excellente
20	avec
21	un
22	cadre
23	agréable
24	et
25	des
26	serveuses
27	souriantes
28	et
29	très
30	agréables
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	PRON	3	nsubj
2	suis	AUX	3	aux:tense
3	allé	VERB	0	root
4	deux	NUM	5	nummod
5	fois	NOUN	3	obl:mod
6	chez	ADP	7	case
7	fleur	NOUN	3	obl:mod
8	de	ADP	9	case
9	sushi	NOUN	7	nmod
10	et	CCONJ	16	cc
11	à	ADP	13	case
12	chaque	DET	13	det
13	fois	NOUN	16	obl:mod
14	j'	PRON	16	nsubj
15	ai	AUX	16	aux:tense
16	trouvé	VERB	3	conj
17	la	DET	18	det
18	nouriture	NOUN	16	obj
19	excellente	ADJ	16	xcomp:pred
20	avec	ADP	22	case
21	un	DET	22	det
22	cadre	NOUN	16	obl:mod
23	agréable	ADJ	22	amod
24	et	CCONJ	26	cc
25	des	DET	26	det
26	serveuses	NOUN	22	conj
27	souriantes	ADJ	26	amod
28	et	CCONJ	30	cc
29	très	ADV	30	advmod
30	agréables	ADJ	27	conj
31	.	PUNCT	3	punct