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:
Mubarak fue recibido posteriormente por el rey Juan Carlos en el palacio de la Zarzuela antes de desplazarse a Mallorca, donde participa hoy y mañana en la cumbre euromediterránea de Formentor.
Postion	Tokenization
1	Mubarak
2	fue
3	recibido
4	posteriormente
5	por
6	el
7	rey
8	Juan
9	Carlos
10	en
11	el
12	palacio
13	de
14	la
15	Zarzuela
16	antes
17	de
18	desplazarse
19	desplazar
20	se
21	a
22	Mallorca
23	,
24	donde
25	participa
26	hoy
27	y
28	mañana
29	en
30	la
31	cumbre
32	euromediterránea
33	de
34	Formentor
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Mubarak	PROPN	3	nsubj
2	fue	AUX	3	aux
3	recibido	VERB	0	root
4	posteriormente	ADV	3	advmod
5	por	ADP	7	case
6	el	DET	7	det
7	rey	NOUN	3	obj
8	Juan	PROPN	7	appos
9	Carlos	PROPN	8	flat
10	en	ADP	12	case
11	el	DET	12	det
12	palacio	NOUN	3	obl
13	de	ADP	15	case
14	la	DET	15	det
15	Zarzuela	PROPN	12	nmod
16	antes	ADV	3	advmod
17	de	ADP	18	mark
18	desplazarse	_	None	_
19	desplazar	VERB	16	advcl
20	se	PRON	18	expl:pv
21	a	ADP	21	case
22	Mallorca	PROPN	18	obl
23	,	PUNCT	24	punct
24	donde	PRON	24	obl
25	participa	VERB	21	acl
26	hoy	ADV	24	advmod
27	y	CCONJ	27	cc
28	mañana	ADV	25	conj
29	en	ADP	30	case
30	la	DET	30	det
31	cumbre	NOUN	24	obj
32	euromediterránea	ADJ	30	amod
33	de	ADP	33	case
34	Formentor	PROPN	30	nmod
35	.	PUNCT	3	punct