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:
Si el pasado agosto fue el primer ministro Abderramán Yusufi quien destacó la necesidad de que los Gobiernos marroquí y español reflexionen "conjuntamente sobre un nuevo estatuto para Ceuta y Melilla", ayer fue el ministro de Comunicación, Mohamed Messari, el que reivindicó al Ejecutivo de José María Aznar un foro de debate sobre el futuro de las dos ciudades.
Postion	Tokenization
1	Si
2	el
3	pasado
4	agosto
5	fue
6	el
7	primer
8	ministro
9	Abderramán
10	Yusufi
11	quien
12	destacó
13	la
14	necesidad
15	de
16	que
17	los
18	Gobiernos
19	marroquí
20	y
21	español
22	reflexionen
23	"
24	conjuntamente
25	sobre
26	un
27	nuevo
28	estatuto
29	para
30	Ceuta
31	y
32	Melilla
33	"
34	,
35	ayer
36	fue
37	el
38	ministro
39	de
40	Comunicación
41	,
42	Mohamed
43	Messari
44	,
45	el
46	que
47	reivindicó
48	al
49	Ejecutivo
50	de
51	José
52	María
53	Aznar
54	un
55	foro
56	de
57	debate
58	sobre
59	el
60	futuro
61	de
62	las
63	dos
64	ciudades
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	5	mark
2	el	DET	4	det
3	pasado	ADJ	4	amod
4	agosto	NOUN	5	obl
5	fue	AUX	36	advcl
6	el	DET	8	det
7	primer	ADJ	8	amod
8	ministro	NOUN	5	nsubj
9	Abderramán	PROPN	8	appos
10	Yusufi	PROPN	9	flat
11	quien	PRON	12	nsubj
12	destacó	VERB	5	ccomp
13	la	DET	14	det
14	necesidad	NOUN	12	obj
15	de	ADP	22	mark
16	que	SCONJ	22	mark
17	los	DET	18	det
18	Gobiernos	NOUN	22	nsubj
19	marroquí	ADJ	18	amod
20	y	CCONJ	21	cc
21	español	ADJ	19	conj
22	reflexionen	VERB	14	acl
23	"	PUNCT	22	punct
24	conjuntamente	ADV	22	advmod
25	sobre	ADP	28	case
26	un	DET	28	det
27	nuevo	ADJ	28	amod
28	estatuto	NOUN	22	obl
29	para	ADP	30	case
30	Ceuta	PROPN	28	nmod
31	y	CCONJ	32	cc
32	Melilla	PROPN	30	conj
33	"	PUNCT	22	punct
34	,	PUNCT	5	punct
35	ayer	ADV	36	advmod
36	fue	AUX	0	root
37	el	DET	38	det
38	ministro	NOUN	36	nsubj
39	de	ADP	40	case
40	Comunicación	PROPN	38	nmod
41	,	PUNCT	42	punct
42	Mohamed	PROPN	38	appos
43	Messari	PROPN	42	flat
44	,	PUNCT	42	punct
45	el	DET	47	det
46	que	PRON	47	nsubj
47	reivindicó	VERB	36	ccomp
48	al	ADP	49	case
49	Ejecutivo	PROPN	47	obj
50	de	ADP	51	case
51	José	PROPN	49	nmod
52	María	PROPN	51	flat
53	Aznar	PROPN	51	flat
54	un	DET	55	det
55	foro	NOUN	47	obj
56	de	ADP	57	case
57	debate	NOUN	55	nmod
58	sobre	ADP	60	case
59	el	DET	60	det
60	futuro	NOUN	55	nmod
61	de	ADP	64	case
62	las	DET	64	det
63	dos	NUM	62	nummod
64	ciudades	NOUN	60	nmod
65	.	PUNCT	36	punct