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:
J'ai également eu la chance de goûter à quelques pizzas (cuites au four à bois) et quelques entrées qui sont toutes aussi excellentes les unes que les autres.
Postion	Tokenization
1	J'
2	ai
3	également
4	eu
5	la
6	chance
7	de
8	goûter
9	à
10	quelques
11	pizzas
12	(
13	cuites
14	au
15	à
16	le
17	four
18	à
19	bois
20	)
21	et
22	quelques
23	entrées
24	qui
25	sont
26	toutes
27	aussi
28	excellentes
29	les
30	unes
31	que
32	les
33	autres
34	.
Position	Tokenization	UPOS	Head	Deprel
1	J'	PRON	4	nsubj
2	ai	AUX	4	aux:tense
3	également	ADV	4	advmod
4	eu	VERB	0	root
5	la	DET	6	det
6	chance	NOUN	4	obj
7	de	ADP	8	mark
8	goûter	VERB	6	acl
9	à	ADP	11	case
10	quelques	DET	11	det
11	pizzas	NOUN	8	obl:arg
12	(	PUNCT	13	punct
13	cuites	VERB	11	acl
14	au	_	None	_
15	à	ADP	16	case
16	le	DET	16	det
17	four	NOUN	13	obl:mod
18	à	ADP	18	case
19	bois	NOUN	16	nmod
20	)	PUNCT	13	punct
21	et	CCONJ	22	cc
22	quelques	DET	22	det
23	entrées	NOUN	11	conj
24	qui	PRON	27	nsubj
25	sont	AUX	27	cop
26	toutes	PRON	27	obl:mod
27	aussi	ADV	27	advmod
28	excellentes	ADJ	11	acl:relcl
29	les	DET	29	det
30	unes	PRON	27	obl:mod
31	que	SCONJ	32	case
32	les	DET	32	det
33	autres	PRON	26	obj
34	.	PUNCT	4	punct