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:
À l'âge de 15 ans, Fran Orbini entra dans l'ordre monastique Bénédictin et prit le nom de Mavro, (Maurice) très populaire dans cet ordre.
Postion	Tokenization
1	À
2	l'
3	âge
4	de
5	15
6	ans
7	,
8	Fran
9	Orbini
10	entra
11	dans
12	l'
13	ordre
14	monastique
15	Bénédictin
16	et
17	prit
18	le
19	nom
20	de
21	Mavro
22	,
23	(
24	Maurice
25	)
26	très
27	populaire
28	dans
29	cet
30	ordre
31	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	3	case
2	l'	DET	3	det
3	âge	NOUN	10	obl:mod
4	de	ADP	6	case
5	15	NUM	6	nummod
6	ans	NOUN	3	nmod
7	,	PUNCT	3	punct
8	Fran	PROPN	10	nsubj
9	Orbini	PROPN	8	flat:name
10	entra	VERB	0	root
11	dans	ADP	13	case
12	l'	DET	13	det
13	ordre	NOUN	10	obl:arg
14	monastique	ADJ	13	amod
15	Bénédictin	PROPN	13	appos
16	et	CCONJ	17	cc
17	prit	VERB	10	conj
18	le	DET	19	det
19	nom	NOUN	17	obj
20	de	ADP	21	case
21	Mavro	PROPN	19	nmod
22	,	PUNCT	24	punct
23	(	PUNCT	24	punct
24	Maurice	PROPN	21	appos
25	)	PUNCT	24	punct
26	très	ADV	27	advmod
27	populaire	ADJ	21	amod
28	dans	ADP	30	case
29	cet	DET	30	det
30	ordre	NOUN	27	obl:mod
31	.	PUNCT	10	punct