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:
Los reyes llegaron hoy, sábado, desde Manaos (Brasil), a la ciudad de La Paz, sede del gobierno de Bolivia, y fueron recibidos por el presidente de este país, Hugo Banzer, en el inicio de una visita de cuatro días que incluirá a las ciudades de Potosí y Sucre.
Postion	Tokenization
1	Los
2	reyes
3	llegaron
4	hoy
5	,
6	sábado
7	,
8	desde
9	Manaos
10	(
11	Brasil
12	)
13	,
14	a
15	la
16	ciudad
17	de
18	La
19	Paz
20	,
21	sede
22	del
23	gobierno
24	de
25	Bolivia
26	,
27	y
28	fueron
29	recibidos
30	por
31	el
32	presidente
33	de
34	este
35	país
36	,
37	Hugo
38	Banzer
39	,
40	en
41	el
42	inicio
43	de
44	una
45	visita
46	de
47	cuatro
48	días
49	que
50	incluirá
51	a
52	las
53	ciudades
54	de
55	Potosí
56	y
57	Sucre
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	reyes	NOUN	3	nsubj
3	llegaron	VERB	0	root
4	hoy	ADV	3	advmod
5	,	PUNCT	6	punct
6	sábado	NOUN	4	obl
7	,	PUNCT	6	punct
8	desde	ADP	9	case
9	Manaos	PROPN	3	obl
10	(	PUNCT	11	punct
11	Brasil	PROPN	9	flat
12	)	PUNCT	11	punct
13	,	PUNCT	16	punct
14	a	ADP	16	case
15	la	DET	16	det
16	ciudad	NOUN	3	obl
17	de	ADP	19	case
18	La	DET	19	det
19	Paz	PROPN	16	nmod
20	,	PUNCT	21	punct
21	sede	NOUN	16	appos
22	del	ADP	23	case
23	gobierno	NOUN	21	nmod
24	de	ADP	25	case
25	Bolivia	PROPN	23	nmod
26	,	PUNCT	21	punct
27	y	CCONJ	29	cc
28	fueron	AUX	29	aux
29	recibidos	VERB	3	conj
30	por	ADP	32	case
31	el	DET	32	det
32	presidente	NOUN	29	obj
33	de	ADP	35	case
34	este	DET	35	det
35	país	NOUN	32	nmod
36	,	PUNCT	37	punct
37	Hugo	PROPN	32	appos
38	Banzer	PROPN	37	flat
39	,	PUNCT	37	punct
40	en	ADP	42	case
41	el	DET	42	det
42	inicio	NOUN	29	obl
43	de	ADP	45	case
44	una	DET	45	det
45	visita	NOUN	42	nmod
46	de	ADP	48	case
47	cuatro	NUM	48	nummod
48	días	NOUN	45	nmod
49	que	PRON	50	nsubj
50	incluirá	VERB	45	acl
51	a	ADP	53	case
52	las	DET	53	det
53	ciudades	NOUN	50	obj
54	de	ADP	55	case
55	Potosí	PROPN	53	nmod
56	y	CCONJ	57	cc
57	Sucre	PROPN	55	conj
58	.	PUNCT	3	punct