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 le journal digital espagnol ABC de mardi, deux professeurs ont été blessés suite à une immolation par le feu face au Ministère de l'Enseignement à Rabat pour protester contre leurs conditions de travail.
Postion	Tokenization
1	Selon
2	le
3	journal
4	digital
5	espagnol
6	ABC
7	de
8	mardi
9	,
10	deux
11	professeurs
12	ont
13	été
14	blessés
15	suite
16	à
17	une
18	immolation
19	par
20	le
21	feu
22	face
23	au
24	à
25	le
26	Ministère
27	de
28	l'
29	Enseignement
30	à
31	Rabat
32	pour
33	protester
34	contre
35	leurs
36	conditions
37	de
38	travail
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	le	DET	3	det
3	journal	NOUN	14	obl:mod
4	digital	ADJ	3	amod
5	espagnol	ADJ	3	amod
6	ABC	PROPN	3	appos
7	de	ADP	8	case
8	mardi	NOUN	3	nmod
9	,	PUNCT	3	punct
10	deux	NUM	11	nummod
11	professeurs	NOUN	14	nsubj:pass
12	ont	AUX	14	aux:tense
13	été	AUX	14	aux:pass
14	blessés	VERB	0	root
15	suite	NOUN	18	case
16	à	ADP	15	fixed
17	une	DET	18	det
18	immolation	NOUN	14	obl:mod
19	par	ADP	21	case
20	le	DET	21	det
21	feu	NOUN	18	nmod
22	face	NOUN	25	case
23	au	_	None	_
24	à	ADP	22	fixed
25	le	DET	25	det
26	Ministère	NOUN	14	obl:mod
27	de	ADP	28	case
28	l'	DET	28	det
29	Enseignement	NOUN	25	nmod
30	à	ADP	30	case
31	Rabat	PROPN	25	nmod
32	pour	ADP	32	mark
33	protester	VERB	14	advcl
34	contre	ADP	35	case
35	leurs	DET	35	det
36	conditions	NOUN	32	obl:mod
37	de	ADP	37	case
38	travail	NOUN	35	nmod
39	.	PUNCT	14	punct