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:
La película narra la historia de un joven parisiense que marcha a Rumanía en busca de una cantante zíngara, ya que su fallecido padre escuchaba siempre sus canciones.
Postion	Tokenization
1	La
2	película
3	narra
4	la
5	historia
6	de
7	un
8	joven
9	parisiense
10	que
11	marcha
12	a
13	Rumanía
14	en
15	busca
16	de
17	una
18	cantante
19	zíngara
20	,
21	ya
22	que
23	su
24	fallecido
25	padre
26	escuchaba
27	siempre
28	sus
29	canciones
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	película	NOUN	3	nsubj
3	narra	VERB	0	root
4	la	DET	5	det
5	historia	NOUN	3	obj
6	de	ADP	8	case
7	un	DET	8	det
8	joven	NOUN	5	nmod
9	parisiense	ADJ	8	amod
10	que	PRON	11	nsubj
11	marcha	VERB	8	acl
12	a	ADP	13	case
13	Rumanía	PROPN	11	obl
14	en	ADP	15	case
15	busca	NOUN	11	obl
16	de	ADP	18	case
17	una	DET	18	det
18	cantante	NOUN	15	nmod
19	zíngara	ADJ	18	amod
20	,	PUNCT	26	punct
21	ya	ADV	26	mark
22	que	SCONJ	21	fixed
23	su	DET	25	det
24	fallecido	ADJ	25	amod
25	padre	NOUN	26	nsubj
26	escuchaba	VERB	11	advcl
27	siempre	ADV	26	advmod
28	sus	DET	29	det
29	canciones	NOUN	26	obj
30	.	PUNCT	3	punct