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:
Et en toute honnêteté, Biby Ngota avait moult fois adressé des correspondances au régisseur pour être muté dans un quartier décent, celles-ci sont restées lettres mortes.
Postion	Tokenization
1	Et
2	en
3	toute
4	honnêteté
5	,
6	Biby
7	Ngota
8	avait
9	moult
10	fois
11	adressé
12	des
13	correspondances
14	au
15	à
16	le
17	régisseur
18	pour
19	être
20	muté
21	dans
22	un
23	quartier
24	décent
25	,
26	celles-ci
27	sont
28	restées
29	lettres
30	mortes
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Et	CCONJ	11	cc
2	en	ADP	4	case
3	toute	DET	4	det
4	honnêteté	NOUN	11	obl:mod
5	,	PUNCT	4	punct
6	Biby	PROPN	11	nsubj
7	Ngota	PROPN	6	flat:name
8	avait	AUX	11	aux:tense
9	moult	ADJ	10	amod
10	fois	NOUN	11	obl:mod
11	adressé	VERB	0	root
12	des	DET	13	det
13	correspondances	NOUN	11	obj
14	au	_	None	_
15	à	ADP	16	case
16	le	DET	16	det
17	régisseur	NOUN	11	obl:arg
18	pour	ADP	19	mark
19	être	AUX	19	aux:pass
20	muté	VERB	11	advcl
21	dans	ADP	22	case
22	un	DET	22	det
23	quartier	NOUN	19	obl:arg
24	décent	ADJ	22	amod
25	,	PUNCT	27	punct
26	celles-ci	PRON	27	nsubj
27	sont	AUX	27	aux:tense
28	restées	VERB	11	conj
29	lettres	NOUN	27	obj
30	mortes	ADJ	28	amod
31	.	PUNCT	11	punct