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:
Más de 100 periodistas, 20 cámaras de televisión y muchos fotógrafos, muchísimos, recibieron ayer en el salón de conferencias de un hotel de Madrid a Pedro Almodóvar, que venía acompañado de su Oscar y de tres de sus actores: Marisa Paredes, Antonia San Juan y Eloy Azorín.
Postion	Tokenization
1	Más
2	de
3	100
4	periodistas
5	,
6	20
7	cámaras
8	de
9	televisión
10	y
11	muchos
12	fotógrafos
13	,
14	muchísimos
15	,
16	recibieron
17	ayer
18	en
19	el
20	salón
21	de
22	conferencias
23	de
24	un
25	hotel
26	de
27	Madrid
28	a
29	Pedro
30	Almodóvar
31	,
32	que
33	venía
34	acompañado
35	de
36	su
37	Oscar
38	y
39	de
40	tres
41	de
42	sus
43	actores
44	:
45	Marisa
46	Paredes
47	,
48	Antonia
49	San
50	Juan
51	y
52	Eloy
53	Azorín
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Más	ADV	4	advmod
2	de	ADP	1	case
3	100	NUM	1	nummod
4	periodistas	NOUN	16	nsubj
5	,	PUNCT	7	punct
6	20	NUM	7	nummod
7	cámaras	NOUN	4	appos
8	de	ADP	9	case
9	televisión	NOUN	7	nmod
10	y	CCONJ	12	cc
11	muchos	DET	12	det
12	fotógrafos	NOUN	4	conj
13	,	PUNCT	14	punct
14	muchísimos	ADJ	12	amod
15	,	PUNCT	4	punct
16	recibieron	VERB	0	root
17	ayer	ADV	16	advmod
18	en	ADP	20	case
19	el	DET	20	det
20	salón	NOUN	16	obl
21	de	ADP	22	case
22	conferencias	NOUN	20	nmod
23	de	ADP	25	case
24	un	DET	25	det
25	hotel	NOUN	20	nmod
26	de	ADP	27	case
27	Madrid	PROPN	25	nmod
28	a	ADP	29	case
29	Pedro	PROPN	16	obj
30	Almodóvar	PROPN	29	flat
31	,	PUNCT	33	punct
32	que	PRON	33	nsubj
33	venía	VERB	29	acl
34	acompañado	ADJ	33	obj
35	de	ADP	37	case
36	su	DET	37	det
37	Oscar	PROPN	34	obj
38	y	CCONJ	40	cc
39	de	ADP	40	case
40	tres	NUM	37	conj
41	de	ADP	43	case
42	sus	DET	43	det
43	actores	NOUN	40	nmod
44	:	PUNCT	45	punct
45	Marisa	PROPN	40	appos
46	Paredes	PROPN	45	flat
47	,	PUNCT	48	punct
48	Antonia	PROPN	45	conj
49	San	PROPN	48	flat
50	Juan	PROPN	48	flat
51	y	CCONJ	52	cc
52	Eloy	PROPN	45	conj
53	Azorín	PROPN	52	flat
54	.	PUNCT	16	punct