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, inspirada en la novela de idéntico título de Lorenzo Silva, es un thriller de impecable factura formal y de gran solidez narrativa.
Postion	Tokenization
1	La
2	película
3	,
4	inspirada
5	en
6	la
7	novela
8	de
9	idéntico
10	título
11	de
12	Lorenzo
13	Silva
14	,
15	es
16	un
17	thriller
18	de
19	impecable
20	factura
21	formal
22	y
23	de
24	gran
25	solidez
26	narrativa
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	película	NOUN	17	nsubj
3	,	PUNCT	4	punct
4	inspirada	ADJ	2	amod
5	en	ADP	7	case
6	la	DET	7	det
7	novela	NOUN	4	obl
8	de	ADP	10	case
9	idéntico	ADJ	10	amod
10	título	NOUN	7	nmod
11	de	ADP	12	case
12	Lorenzo	PROPN	7	nmod
13	Silva	PROPN	12	flat
14	,	PUNCT	4	punct
15	es	AUX	17	cop
16	un	DET	17	det
17	thriller	NOUN	0	root
18	de	ADP	20	case
19	impecable	ADJ	20	amod
20	factura	NOUN	17	nmod
21	formal	ADJ	20	amod
22	y	CCONJ	25	cc
23	de	ADP	25	case
24	gran	ADJ	25	amod
25	solidez	NOUN	20	conj
26	narrativa	ADJ	25	amod
27	.	PUNCT	17	punct