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:
El filme de Pedro Almodóvar y el intérprete son candidatos a los premios a la mejor película y el mejor actor del año que entrega la Academia de Cine de Europa.
Postion	Tokenization
1	El
2	filme
3	de
4	Pedro
5	Almodóvar
6	y
7	el
8	intérprete
9	son
10	candidatos
11	a
12	los
13	premios
14	a
15	la
16	mejor
17	película
18	y
19	el
20	mejor
21	actor
22	del
23	año
24	que
25	entrega
26	la
27	Academia
28	de
29	Cine
30	de
31	Europa
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	filme	NOUN	10	nsubj
3	de	ADP	4	case
4	Pedro	PROPN	2	nmod
5	Almodóvar	PROPN	4	flat
6	y	CCONJ	8	cc
7	el	DET	8	det
8	intérprete	NOUN	2	conj
9	son	AUX	10	cop
10	candidatos	NOUN	0	root
11	a	ADP	13	case
12	los	DET	13	det
13	premios	NOUN	10	nmod
14	a	ADP	17	case
15	la	DET	17	det
16	mejor	ADJ	17	amod
17	película	NOUN	13	nmod
18	y	CCONJ	21	cc
19	el	DET	21	det
20	mejor	ADJ	21	amod
21	actor	NOUN	17	conj
22	del	ADP	23	case
23	año	NOUN	21	nmod
24	que	PRON	25	obj
25	entrega	VERB	13	acl
26	la	DET	27	det
27	Academia	PROPN	25	nsubj
28	de	ADP	29	case
29	Cine	PROPN	27	flat
30	de	ADP	31	case
31	Europa	PROPN	27	flat
32	.	PUNCT	10	punct