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:
Un almuerzo con el primer ministro, Antonio Guterres, una recepción a la colectividad española en Lisboa, y otra recepción dedicada a agasajar al presidente portugués, Jorge Sampaio, y a su esposa, completan esta jornada de la tercera visita de Estado que realizan los Reyes de España al país vecino.
Postion	Tokenization
1	Un
2	almuerzo
3	con
4	el
5	primer
6	ministro
7	,
8	Antonio
9	Guterres
10	,
11	una
12	recepción
13	a
14	la
15	colectividad
16	española
17	en
18	Lisboa
19	,
20	y
21	otra
22	recepción
23	dedicada
24	a
25	agasajar
26	al
27	presidente
28	portugués
29	,
30	Jorge
31	Sampaio
32	,
33	y
34	a
35	su
36	esposa
37	,
38	completan
39	esta
40	jornada
41	de
42	la
43	tercera
44	visita
45	de
46	Estado
47	que
48	realizan
49	los
50	Reyes
51	de
52	España
53	al
54	país
55	vecino
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	almuerzo	NOUN	38	nsubj
3	con	ADP	6	case
4	el	DET	6	det
5	primer	ADJ	6	amod
6	ministro	NOUN	2	nmod
7	,	PUNCT	8	punct
8	Antonio	PROPN	6	appos
9	Guterres	PROPN	8	flat
10	,	PUNCT	12	punct
11	una	DET	12	det
12	recepción	NOUN	2	appos
13	a	ADP	15	case
14	la	DET	15	det
15	colectividad	NOUN	12	nmod
16	española	ADJ	15	amod
17	en	ADP	18	case
18	Lisboa	PROPN	15	nmod
19	,	PUNCT	12	punct
20	y	CCONJ	22	cc
21	otra	DET	22	det
22	recepción	NOUN	2	conj
23	dedicada	ADJ	22	amod
24	a	ADP	25	mark
25	agasajar	VERB	23	xcomp
26	al	ADP	27	case
27	presidente	NOUN	25	obj
28	portugués	ADJ	27	amod
29	,	PUNCT	30	punct
30	Jorge	PROPN	27	appos
31	Sampaio	PROPN	30	flat
32	,	PUNCT	30	punct
33	y	CCONJ	36	cc
34	a	ADP	36	case
35	su	DET	36	det
36	esposa	NOUN	27	conj
37	,	PUNCT	2	punct
38	completan	VERB	0	root
39	esta	DET	40	det
40	jornada	NOUN	38	obj
41	de	ADP	44	case
42	la	DET	44	det
43	tercera	ADJ	44	amod
44	visita	NOUN	40	nmod
45	de	ADP	46	case
46	Estado	PROPN	44	nmod
47	que	PRON	48	obj
48	realizan	VERB	44	acl
49	los	DET	50	det
50	Reyes	PROPN	48	nsubj
51	de	ADP	52	case
52	España	PROPN	50	flat
53	al	ADP	54	case
54	país	NOUN	48	obl
55	vecino	ADJ	54	amod
56	.	PUNCT	38	punct