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:
Le titre de l'événement est MORA, qui est aussi le titre d'un roman écrit par Besner.
Postion	Tokenization
1	Le
2	titre
3	de
4	l'
5	événement
6	est
7	MORA
8	,
9	qui
10	est
11	aussi
12	le
13	titre
14	d'
15	un
16	roman
17	écrit
18	par
19	Besner
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	titre	NOUN	7	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	événement	NOUN	2	nmod
6	est	AUX	7	cop
7	MORA	PROPN	0	root
8	,	PUNCT	13	punct
9	qui	PRON	13	nsubj
10	est	AUX	13	cop
11	aussi	ADV	13	advmod
12	le	DET	13	det
13	titre	NOUN	7	acl:relcl
14	d'	ADP	16	case
15	un	DET	16	det
16	roman	NOUN	13	nmod
17	écrit	VERB	16	acl
18	par	ADP	19	case
19	Besner	PROPN	17	obl:agent
20	.	PUNCT	7	punct