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 trama es sencilla: un joven escritor (Jordi Bosch) hace luz de gas a una bella desconocida (fascinante Fanny Gautier) porque ocupa la casa en la que vivió cuando estaba casado.
Postion	Tokenization
1	La
2	trama
3	es
4	sencilla
5	:
6	un
7	joven
8	escritor
9	(
10	Jordi
11	Bosch
12	)
13	hace
14	luz
15	de
16	gas
17	a
18	una
19	bella
20	desconocida
21	(
22	fascinante
23	Fanny
24	Gautier
25	)
26	porque
27	ocupa
28	la
29	casa
30	en
31	la
32	que
33	vivió
34	cuando
35	estaba
36	casado
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	trama	NOUN	4	nsubj
3	es	AUX	4	cop
4	sencilla	ADJ	0	root
5	:	PUNCT	13	punct
6	un	DET	8	det
7	joven	ADJ	8	amod
8	escritor	NOUN	13	nsubj
9	(	PUNCT	10	punct
10	Jordi	PROPN	8	appos
11	Bosch	PROPN	10	flat
12	)	PUNCT	10	punct
13	hace	VERB	4	advcl
14	luz	NOUN	13	obj
15	de	ADP	16	case
16	gas	NOUN	14	compound
17	a	ADP	20	case
18	una	DET	20	det
19	bella	ADJ	20	amod
20	desconocida	ADJ	13	obj
21	(	PUNCT	23	punct
22	fascinante	ADJ	23	amod
23	Fanny	PROPN	20	obj
24	Gautier	PROPN	23	flat
25	)	PUNCT	23	punct
26	porque	SCONJ	27	mark
27	ocupa	VERB	13	advcl
28	la	DET	29	det
29	casa	NOUN	27	obj
30	en	ADP	32	case
31	la	DET	32	det
32	que	PRON	33	obl
33	vivió	VERB	29	acl
34	cuando	SCONJ	36	mark
35	estaba	AUX	36	cop
36	casado	ADJ	33	advcl
37	.	PUNCT	4	punct