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:
Siete meses después del suceso de la calle de Roger de Flor, en mayo de 1997, una mujer de 37 años, Carmen Esquerra Paduelles, falleció al desprenderse un cascote de la fachada de un edificio de la calle de Trafalgar cuando acompañaba a su hijo al colegio.
Postion	Tokenization
1	Siete
2	meses
3	después
4	del
5	suceso
6	de
7	la
8	calle
9	de
10	Roger
11	de
12	Flor
13	,
14	en
15	mayo
16	de
17	1997
18	,
19	una
20	mujer
21	de
22	37
23	años
24	,
25	Carmen
26	Esquerra
27	Paduelles
28	,
29	falleció
30	al
31	desprenderse
32	desprender
33	se
34	un
35	cascote
36	de
37	la
38	fachada
39	de
40	un
41	edificio
42	de
43	la
44	calle
45	de
46	Trafalgar
47	cuando
48	acompañaba
49	a
50	su
51	hijo
52	al
53	colegio
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Siete	NUM	2	nummod
2	meses	NOUN	3	obl
3	después	ADV	29	advmod
4	del	ADP	5	case
5	suceso	NOUN	3	obl
6	de	ADP	8	case
7	la	DET	8	det
8	calle	NOUN	5	nmod
9	de	ADP	10	case
10	Roger	PROPN	8	nmod
11	de	ADP	12	case
12	Flor	PROPN	10	flat
13	,	PUNCT	15	punct
14	en	ADP	15	case
15	mayo	NOUN	3	obl
16	de	ADP	17	case
17	1997	NUM	15	compound
18	,	PUNCT	15	punct
19	una	DET	20	det
20	mujer	NOUN	29	nsubj
21	de	ADP	23	case
22	37	NUM	23	nummod
23	años	NOUN	20	nmod
24	,	PUNCT	25	punct
25	Carmen	PROPN	20	appos
26	Esquerra	PROPN	25	flat
27	Paduelles	PROPN	25	flat
28	,	PUNCT	25	punct
29	falleció	VERB	0	root
30	al	ADP	31	mark
31	desprenderse	_	None	_
32	desprender	VERB	29	advcl
33	se	PRON	31	expl:pv
34	un	DET	34	det
35	cascote	NOUN	31	nsubj
36	de	ADP	37	case
37	la	DET	37	det
38	fachada	NOUN	34	nmod
39	de	ADP	40	case
40	un	DET	40	det
41	edificio	NOUN	37	nmod
42	de	ADP	43	case
43	la	DET	43	det
44	calle	NOUN	40	nmod
45	de	ADP	45	case
46	Trafalgar	PROPN	43	nmod
47	cuando	SCONJ	47	mark
48	acompañaba	VERB	29	advcl
49	a	ADP	50	case
50	su	DET	50	det
51	hijo	NOUN	47	obj
52	al	ADP	52	case
53	colegio	NOUN	47	obl
54	.	PUNCT	29	punct