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:
Selon ce discours--maintenant bien rodé--, avec la mort d'Hassan II et l'arrivée au pouvoir de Mohammed VI, les choses auraient évolué au Maroc.
Postion	Tokenization
1	Selon
2	ce
3	discours
4	--
5	maintenant
6	bien
7	rodé
8	--
9	,
10	avec
11	la
12	mort
13	d'
14	Hassan
15	II
16	et
17	l'
18	arrivée
19	au
20	à
21	le
22	pouvoir
23	de
24	Mohammed
25	VI
26	,
27	les
28	choses
29	auraient
30	évolué
31	au
32	à
33	le
34	Maroc
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	ce	DET	3	det
3	discours	NOUN	29	obl:mod
4	--	PUNCT	7	punct
5	maintenant	ADV	7	advmod
6	bien	ADV	7	advmod
7	rodé	VERB	3	acl
8	--	PUNCT	7	punct
9	,	PUNCT	3	punct
10	avec	ADP	12	case
11	la	DET	12	det
12	mort	NOUN	29	obl:mod
13	d'	ADP	14	case
14	Hassan	PROPN	12	nmod
15	II	PROPN	14	flat:name
16	et	CCONJ	18	cc
17	l'	DET	18	det
18	arrivée	NOUN	12	conj
19	au	_	None	_
20	à	ADP	21	case
21	le	DET	21	det
22	pouvoir	NOUN	18	nmod
23	de	ADP	23	case
24	Mohammed	PROPN	18	nmod
25	VI	PROPN	23	flat:name
26	,	PUNCT	12	punct
27	les	DET	27	det
28	choses	NOUN	29	nsubj
29	auraient	AUX	29	aux:tense
30	évolué	VERB	0	root
31	au	_	None	_
32	à	ADP	32	case
33	le	DET	32	det
34	Maroc	PROPN	29	obl:mod
35	.	PUNCT	29	punct