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:
C'est vraisemblablement lui qui fondera la basilique des Apôtres au centre du « faubourg cimetérial » (l'actuel quartier du pré).
Postion	Tokenization
1	C'
2	est
3	vraisemblablement
4	lui
5	qui
6	fondera
7	la
8	basilique
9	des
10	de
11	les
12	Apôtres
13	au
14	à
15	le
16	centre
17	du
18	de
19	le
20	«
21	faubourg
22	cimetérial
23	»
24	(
25	l'
26	actuel
27	quartier
28	du
29	de
30	le
31	pré
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	4	expl:subj
2	est	AUX	4	cop
3	vraisemblablement	ADV	4	advmod
4	lui	PRON	0	root
5	qui	PRON	6	nsubj
6	fondera	VERB	4	advcl:cleft
7	la	DET	8	det
8	basilique	NOUN	6	obj
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	Apôtres	NOUN	8	nmod
13	au	_	None	_
14	à	ADP	14	case
15	le	DET	14	det
16	centre	NOUN	6	obl:mod
17	du	_	None	_
18	de	ADP	18	case
19	le	DET	18	det
20	«	PUNCT	18	punct
21	faubourg	NOUN	14	nmod
22	cimetérial	ADJ	18	amod
23	»	PUNCT	18	punct
24	(	PUNCT	24	punct
25	l'	DET	24	det
26	actuel	ADJ	24	amod
27	quartier	NOUN	18	appos
28	du	_	None	_
29	de	ADP	27	case
30	le	DET	27	det
31	pré	NOUN	24	nmod
32	)	PUNCT	24	punct
33	.	PUNCT	4	punct