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:
Además, un alto número de españoles han sido votados por espectadores de toda Europa, entre ellos los directores Alejandro Amenábar y Julio Medem, la actriz Najwa Nimri y los actores Fele Martínez y Antonio Banderas.
Postion	Tokenization
1	Además
2	,
3	un
4	alto
5	número
6	de
7	españoles
8	han
9	sido
10	votados
11	por
12	espectadores
13	de
14	toda
15	Europa
16	,
17	entre
18	ellos
19	los
20	directores
21	Alejandro
22	Amenábar
23	y
24	Julio
25	Medem
26	,
27	la
28	actriz
29	Najwa
30	Nimri
31	y
32	los
33	actores
34	Fele
35	Martínez
36	y
37	Antonio
38	Banderas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	10	advmod
2	,	PUNCT	1	punct
3	un	DET	5	det
4	alto	ADJ	5	amod
5	número	NOUN	10	nsubj
6	de	ADP	7	case
7	españoles	NOUN	5	nmod
8	han	AUX	10	aux
9	sido	AUX	10	aux
10	votados	VERB	0	root
11	por	ADP	12	case
12	espectadores	NOUN	10	obj
13	de	ADP	15	case
14	toda	DET	15	det
15	Europa	PROPN	12	nmod
16	,	PUNCT	20	punct
17	entre	ADP	18	case
18	ellos	PRON	20	nmod
19	los	DET	20	det
20	directores	NOUN	10	obj
21	Alejandro	PROPN	20	appos
22	Amenábar	PROPN	21	flat
23	y	CCONJ	24	cc
24	Julio	PROPN	21	conj
25	Medem	PROPN	24	flat
26	,	PUNCT	28	punct
27	la	DET	28	det
28	actriz	NOUN	20	appos
29	Najwa	PROPN	28	appos
30	Nimri	PROPN	29	flat
31	y	CCONJ	33	cc
32	los	DET	33	det
33	actores	NOUN	20	conj
34	Fele	PROPN	33	appos
35	Martínez	PROPN	34	flat
36	y	CCONJ	37	cc
37	Antonio	PROPN	34	conj
38	Banderas	PROPN	37	flat
39	.	PUNCT	10	punct