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:
Ce qui n'était pas pour plaire à la majorité de l'assistance, entre autres Abdelaziz Belkhadem, qui a noté que « le discours a changé certes, mais le fait politique n'a pas suivi ».
Postion	Tokenization
1	Ce
2	qui
3	n'
4	était
5	pas
6	pour
7	plaire
8	à
9	la
10	majorité
11	de
12	l'
13	assistance
14	,
15	entre
16	autres
17	Abdelaziz
18	Belkhadem
19	,
20	qui
21	a
22	noté
23	que
24	«
25	le
26	discours
27	a
28	changé
29	certes
30	,
31	mais
32	le
33	fait
34	politique
35	n'
36	a
37	pas
38	suivi
39	»
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	PRON	0	root
2	qui	PRON	4	nsubj
3	n'	ADV	4	advmod
4	était	VERB	1	acl:relcl
5	pas	ADV	4	advmod
6	pour	ADP	7	mark
7	plaire	VERB	4	advcl
8	à	ADP	10	case
9	la	DET	10	det
10	majorité	NOUN	7	obl:arg
11	de	ADP	13	case
12	l'	DET	13	det
13	assistance	NOUN	10	nmod
14	,	PUNCT	17	punct
15	entre	ADP	16	case
16	autres	PRON	17	nmod
17	Abdelaziz	PROPN	10	appos
18	Belkhadem	PROPN	17	flat:name
19	,	PUNCT	22	punct
20	qui	PRON	22	nsubj
21	a	AUX	22	aux:tense
22	noté	VERB	17	acl:relcl
23	que	SCONJ	28	mark
24	«	PUNCT	28	punct
25	le	DET	26	det
26	discours	NOUN	28	nsubj
27	a	AUX	28	aux:tense
28	changé	VERB	22	ccomp:obj
29	certes	ADV	28	advmod
30	,	PUNCT	38	punct
31	mais	CCONJ	38	cc
32	le	DET	33	det
33	fait	NOUN	38	nsubj
34	politique	ADJ	33	amod
35	n'	ADV	38	advmod
36	a	AUX	38	aux:tense
37	pas	ADV	38	advmod
38	suivi	VERB	28	conj
39	»	PUNCT	28	punct
40	.	PUNCT	1	punct