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:
Le Premier ministre marocain, Abbas El Fassi, avait appelé lundi l'Espagne à « engager un dialogue » pour « mettre fin à l'occupation » de Ceuta et Melilla.
Postion	Tokenization
1	Le
2	Premier
3	ministre
4	marocain
5	,
6	Abbas
7	El
8	Fassi
9	,
10	avait
11	appelé
12	lundi
13	l'
14	Espagne
15	à
16	«
17	engager
18	un
19	dialogue
20	»
21	pour
22	«
23	mettre
24	fin
25	à
26	l'
27	occupation
28	»
29	de
30	Ceuta
31	et
32	Melilla
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	3	det
2	Premier	ADJ	3	amod
3	ministre	NOUN	11	nsubj
4	marocain	ADJ	3	amod
5	,	PUNCT	6	punct
6	Abbas	PROPN	3	appos
7	El	PROPN	6	flat:name
8	Fassi	PROPN	7	flat:name
9	,	PUNCT	6	punct
10	avait	AUX	11	aux:tense
11	appelé	VERB	0	root
12	lundi	NOUN	11	obl:mod
13	l'	DET	14	det
14	Espagne	PROPN	11	obj
15	à	ADP	17	mark
16	«	PUNCT	17	punct
17	engager	VERB	11	xcomp:obl
18	un	DET	19	det
19	dialogue	NOUN	17	obj
20	»	PUNCT	17	punct
21	pour	ADP	23	mark
22	«	PUNCT	23	punct
23	mettre	VERB	17	advcl
24	fin	NOUN	23	obj:lvc
25	à	ADP	27	case
26	l'	DET	27	det
27	occupation	NOUN	23	obl:arg
28	»	PUNCT	27	punct
29	de	ADP	30	case
30	Ceuta	PROPN	27	nmod
31	et	CCONJ	32	cc
32	Melilla	PROPN	30	conj
33	.	PUNCT	11	punct