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 primero se produjo el día 14 en Castell-Platja d'Aro (Baix Empordà), cuando un hombre de 34 años mató a sus dos hijas gemelas con una escopeta de caza y después se suicidó.
Postion	Tokenization
1	El
2	primero
3	se
4	produjo
5	el
6	día
7	14
8	en
9	Castell-Platja
10	d'Aro
11	(
12	Baix
13	Empordà
14	)
15	,
16	cuando
17	un
18	hombre
19	de
20	34
21	años
22	mató
23	a
24	sus
25	dos
26	hijas
27	gemelas
28	con
29	una
30	escopeta
31	de
32	caza
33	y
34	después
35	se
36	suicidó
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	primero	ADJ	4	nsubj
3	se	PRON	4	expl:pv
4	produjo	VERB	0	root
5	el	DET	6	det
6	día	NOUN	4	obl
7	14	NUM	6	compound
8	en	ADP	9	case
9	Castell-Platja	PROPN	4	obl
10	d'Aro	PROPN	9	flat
11	(	PUNCT	12	punct
12	Baix	ADJ	9	flat
13	Empordà	PROPN	12	flat
14	)	PUNCT	12	punct
15	,	PUNCT	22	punct
16	cuando	SCONJ	22	mark
17	un	DET	18	det
18	hombre	NOUN	22	nsubj
19	de	ADP	21	case
20	34	NUM	21	nummod
21	años	NOUN	18	nmod
22	mató	VERB	4	advcl
23	a	ADP	26	case
24	sus	DET	26	det
25	dos	NUM	24	nummod
26	hijas	NOUN	22	obj
27	gemelas	ADJ	26	amod
28	con	ADP	30	case
29	una	DET	30	det
30	escopeta	NOUN	22	obl
31	de	ADP	32	case
32	caza	NOUN	30	nmod
33	y	CCONJ	36	cc
34	después	ADV	36	advmod
35	se	PRON	36	expl:pv
36	suicidó	VERB	22	conj
37	.	PUNCT	4	punct