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:
Melanie "Mel" Barker (Danielle McCormack) : Ainée des enfants, est plutôt rebelle et un peu étrange, en effet elle râle souvent et est assez rancunière.
Postion	Tokenization
1	Melanie
2	"
3	Mel
4	"
5	Barker
6	(
7	Danielle
8	McCormack
9	)
10	:
11	Ainée
12	des
13	enfants
14	,
15	est
16	plutôt
17	rebelle
18	et
19	un
20	peu
21	étrange
22	,
23	en
24	effet
25	elle
26	râle
27	souvent
28	et
29	est
30	assez
31	rancunière
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Melanie	PROPN	17	nsubj
2	"	PUNCT	3	punct
3	Mel	PROPN	1	appos
4	"	PUNCT	3	punct
5	Barker	PROPN	1	flat:name
6	(	PUNCT	7	punct
7	Danielle	PROPN	1	appos
8	McCormack	PROPN	7	flat:name
9	)	PUNCT	7	punct
10	:	PUNCT	11	punct
11	Ainée	NOUN	1	appos
12	des	DET	13	det
13	enfants	NOUN	11	nmod
14	,	PUNCT	1	punct
15	est	AUX	17	cop
16	plutôt	ADV	17	advmod
17	rebelle	ADJ	0	root
18	et	CCONJ	21	cc
19	un	DET	21	advmod
20	peu	ADV	19	fixed
21	étrange	ADJ	17	conj
22	,	PUNCT	26	punct
23	en	ADP	26	advmod
24	effet	NOUN	23	fixed
25	elle	PRON	26	nsubj
26	râle	VERB	17	conj
27	souvent	ADV	26	advmod
28	et	CCONJ	31	cc
29	est	AUX	31	cop
30	assez	ADV	31	advmod
31	rancunière	ADJ	26	conj
32	.	PUNCT	17	punct