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:
El Rey tendrá ocasión de dirigirse a los legisladores portugueses después de haber escuchado el discurso que pronunciará el presidente de esta institución.
Postion	Tokenization
1	El
2	Rey
3	tendrá
4	ocasión
5	de
6	dirigirse
7	dirigir
8	se
9	a
10	los
11	legisladores
12	portugueses
13	después
14	de
15	haber
16	escuchado
17	el
18	discurso
19	que
20	pronunciará
21	el
22	presidente
23	de
24	esta
25	institución
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Rey	PROPN	3	nsubj
3	tendrá	VERB	0	root
4	ocasión	NOUN	3	obj
5	de	ADP	6	mark
6	dirigirse	_	None	_
7	dirigir	VERB	4	acl
8	se	PRON	6	expl:pv
9	a	ADP	10	case
10	los	DET	10	det
11	legisladores	NOUN	6	obj
12	portugueses	ADJ	10	amod
13	después	ADV	3	advmod
14	de	ADP	15	mark
15	haber	AUX	15	aux
16	escuchado	VERB	12	advcl
17	el	DET	17	det
18	discurso	NOUN	15	obj
19	que	PRON	19	obj
20	pronunciará	VERB	17	acl
21	el	DET	21	det
22	presidente	NOUN	19	nsubj
23	de	ADP	24	case
24	esta	DET	24	det
25	institución	NOUN	21	nmod
26	.	PUNCT	3	punct