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:
Après un excellent accueil par M. Kei, nous avons pu découvrir des mets raffinés et délicieux, très proche de ce que j'avais pu tester au Japon.
Postion	Tokenization
1	Après
2	un
3	excellent
4	accueil
5	par
6	M.
7	Kei
8	,
9	nous
10	avons
11	pu
12	découvrir
13	des
14	mets
15	raffinés
16	et
17	délicieux
18	,
19	très
20	proche
21	de
22	ce
23	que
24	j'
25	avais
26	pu
27	tester
28	au
29	à
30	le
31	Japon
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	4	case
2	un	DET	4	det
3	excellent	ADJ	4	amod
4	accueil	NOUN	11	obl:mod
5	par	ADP	6	case
6	M.	NOUN	4	nmod
7	Kei	PROPN	6	flat:name
8	,	PUNCT	4	punct
9	nous	PRON	11	nsubj
10	avons	AUX	11	aux:tense
11	pu	VERB	0	root
12	découvrir	VERB	11	xcomp:obj
13	des	DET	14	det
14	mets	NOUN	12	obj
15	raffinés	ADJ	14	amod
16	et	CCONJ	17	cc
17	délicieux	ADJ	15	conj
18	,	PUNCT	20	punct
19	très	ADV	20	advmod
20	proche	ADJ	14	amod
21	de	ADP	22	case
22	ce	PRON	20	obl:arg
23	que	PRON	27	obj
24	j'	PRON	26	nsubj
25	avais	AUX	26	aux:tense
26	pu	VERB	22	acl:relcl
27	tester	VERB	26	xcomp:obj
28	au	_	None	_
29	à	ADP	30	case
30	le	DET	30	det
31	Japon	PROPN	27	obl:mod
32	.	PUNCT	11	punct