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:
Prenant la parole, Charles Mwando Nsimba a sollicité un délai supplémentaire avant de répondre aux préoccupations soulevées, estimant que des éléments nouveaux y avaient été introduits.
Postion	Tokenization
1	Prenant
2	la
3	parole
4	,
5	Charles
6	Mwando
7	Nsimba
8	a
9	sollicité
10	un
11	délai
12	supplémentaire
13	avant
14	de
15	répondre
16	aux
17	à
18	les
19	préoccupations
20	soulevées
21	,
22	estimant
23	que
24	des
25	éléments
26	nouveaux
27	y
28	avaient
29	été
30	introduits
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Prenant	VERB	9	advcl
2	la	DET	3	det
3	parole	NOUN	1	obj
4	,	PUNCT	1	punct
5	Charles	PROPN	9	nsubj
6	Mwando	PROPN	5	flat:name
7	Nsimba	PROPN	6	flat:name
8	a	AUX	9	aux:tense
9	sollicité	VERB	0	root
10	un	DET	11	det
11	délai	NOUN	9	obj
12	supplémentaire	ADJ	11	amod
13	avant	ADV	9	advmod
14	de	ADP	15	mark
15	répondre	VERB	13	xcomp:obl
16	aux	_	None	_
17	à	ADP	18	case
18	les	DET	18	det
19	préoccupations	NOUN	15	obl:arg
20	soulevées	VERB	18	acl
21	,	PUNCT	21	punct
22	estimant	VERB	9	advcl
23	que	SCONJ	29	mark
24	des	DET	24	det
25	éléments	NOUN	29	nsubj:pass
26	nouveaux	ADJ	24	amod
27	y	PRON	29	obl:arg
28	avaient	AUX	29	aux:tense
29	été	AUX	29	aux:pass
30	introduits	VERB	21	ccomp:obj
31	.	PUNCT	9	punct