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:
Don Juan Carlos y Doña Sofía recibieron información sobre la muestra del propio artista, acompañado por su esposa, Teresa Barba, y por el comisario de la exposición, Manuel Borja-Villel, que también les explicó los pormenores de algunas de las noventa obras que ha reunido la exposición.
Postion	Tokenization
1	Don
2	Juan
3	Carlos
4	y
5	Doña
6	Sofía
7	recibieron
8	información
9	sobre
10	la
11	muestra
12	del
13	propio
14	artista
15	,
16	acompañado
17	por
18	su
19	esposa
20	,
21	Teresa
22	Barba
23	,
24	y
25	por
26	el
27	comisario
28	de
29	la
30	exposición
31	,
32	Manuel
33	Borja-Villel
34	,
35	que
36	también
37	les
38	explicó
39	los
40	pormenores
41	de
42	algunas
43	de
44	las
45	noventa
46	obras
47	que
48	ha
49	reunido
50	la
51	exposición
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Don	PROPN	7	nsubj
2	Juan	PROPN	1	flat
3	Carlos	PROPN	1	flat
4	y	CCONJ	5	cc
5	Doña	PROPN	1	conj
6	Sofía	PROPN	5	flat
7	recibieron	VERB	0	root
8	información	NOUN	7	obj
9	sobre	ADP	11	case
10	la	DET	11	det
11	muestra	NOUN	8	nmod
12	del	ADP	14	case
13	propio	DET	14	det
14	artista	NOUN	7	obl
15	,	PUNCT	16	punct
16	acompañado	ADJ	14	amod
17	por	ADP	19	case
18	su	DET	19	det
19	esposa	NOUN	16	obj
20	,	PUNCT	21	punct
21	Teresa	PROPN	19	appos
22	Barba	PROPN	21	flat
23	,	PUNCT	21	punct
24	y	CCONJ	27	cc
25	por	ADP	27	case
26	el	DET	27	det
27	comisario	NOUN	19	conj
28	de	ADP	30	case
29	la	DET	30	det
30	exposición	NOUN	27	nmod
31	,	PUNCT	32	punct
32	Manuel	PROPN	27	appos
33	Borja-Villel	PROPN	32	flat
34	,	PUNCT	32	punct
35	que	PRON	38	nsubj
36	también	ADV	38	advmod
37	les	PRON	38	obj
38	explicó	VERB	27	acl
39	los	DET	40	det
40	pormenores	NOUN	38	obj
41	de	ADP	42	case
42	algunas	PRON	40	nmod
43	de	ADP	46	case
44	las	DET	46	det
45	noventa	NUM	44	nummod
46	obras	NOUN	42	nmod
47	que	PRON	49	obj
48	ha	AUX	49	aux
49	reunido	VERB	46	acl
50	la	DET	51	det
51	exposición	NOUN	49	nsubj
52	.	PUNCT	7	punct