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:
Antonio Drove muestra en el documental, titulado La memoria y los sueños, algunas de sus personales opiniones sobre el director aragonés.
Postion	Tokenization
1	Antonio
2	Drove
3	muestra
4	en
5	el
6	documental
7	,
8	titulado
9	La
10	memoria
11	y
12	los
13	sueños
14	,
15	algunas
16	de
17	sus
18	personales
19	opiniones
20	sobre
21	el
22	director
23	aragonés
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Antonio	PROPN	3	nsubj
2	Drove	PROPN	1	flat
3	muestra	VERB	0	root
4	en	ADP	6	case
5	el	DET	6	det
6	documental	NOUN	3	obl
7	,	PUNCT	9	punct
8	titulado	ADJ	9	amod
9	La	DET	10	det
10	memoria	PROPN	6	appos
11	y	CCONJ	13	cc
12	los	DET	13	det
13	sueños	PROPN	10	conj
14	,	PUNCT	15	punct
15	algunas	PRON	3	obj
16	de	ADP	19	case
17	sus	DET	19	det
18	personales	ADJ	19	amod
19	opiniones	NOUN	15	nmod
20	sobre	ADP	22	case
21	el	DET	22	det
22	director	NOUN	19	nmod
23	aragonés	ADJ	22	amod
24	.	PUNCT	3	punct