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:
Pour résumer, disons que « l'affaire Haidar » arrive dans un contexte où l'espoir envers un assouplissement des relations au sujet des sahraouis est fermement contenu par le Maroc ;
Postion	Tokenization
1	Pour
2	résumer
3	,
4	disons
5	que
6	«
7	l'
8	affaire
9	Haidar
10	»
11	arrive
12	dans
13	un
14	contexte
15	où
16	l'
17	espoir
18	envers
19	un
20	assouplissement
21	des
22	de
23	les
24	relations
25	au
26	à
27	le
28	sujet
29	des
30	de
31	les
32	sahraouis
33	est
34	fermement
35	contenu
36	par
37	le
38	Maroc
39	;
Position	Tokenization	UPOS	Head	Deprel
1	Pour	ADP	2	mark
2	résumer	VERB	4	advcl
3	,	PUNCT	2	punct
4	disons	VERB	0	root
5	que	SCONJ	11	mark
6	«	PUNCT	8	punct
7	l'	DET	8	det
8	affaire	NOUN	11	nsubj
9	Haidar	PROPN	8	appos
10	»	PUNCT	8	punct
11	arrive	VERB	4	ccomp:obj
12	dans	ADP	14	case
13	un	DET	14	det
14	contexte	NOUN	11	obl:mod
15	où	ADV	32	advmod
16	l'	DET	17	det
17	espoir	NOUN	32	nsubj:pass
18	envers	ADP	20	case
19	un	DET	20	det
20	assouplissement	NOUN	17	nmod
21	des	_	None	_
22	de	ADP	23	case
23	les	DET	23	det
24	relations	NOUN	20	nmod
25	au	_	None	_
26	à	ADP	23	advmod
27	le	DET	24	fixed
28	sujet	NOUN	24	fixed
29	des	_	None	_
30	de	ADP	29	case
31	les	DET	29	det
32	sahraouis	NOUN	24	obl:arg
33	est	AUX	32	aux:pass
34	fermement	ADV	32	advmod
35	contenu	VERB	14	acl:relcl
36	par	ADP	35	case
37	le	DET	35	det
38	Maroc	PROPN	32	obl:agent
39	;	PUNCT	4	punct