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 hecho se produjo el miércoles y se conoció cuando el pequeño fue trasladado al centro de salud de Olula del Río para ser atendido por las heridas que presentaba.
Postion	Tokenization
1	El
2	hecho
3	se
4	produjo
5	el
6	miércoles
7	y
8	se
9	conoció
10	cuando
11	el
12	pequeño
13	fue
14	trasladado
15	al
16	centro
17	de
18	salud
19	de
20	Olula
21	del
22	Río
23	para
24	ser
25	atendido
26	por
27	las
28	heridas
29	que
30	presentaba
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hecho	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	produjo	VERB	0	root
5	el	DET	6	det
6	miércoles	NOUN	4	obl
7	y	CCONJ	9	cc
8	se	PRON	9	expl:pass
9	conoció	VERB	4	conj
10	cuando	PRON	14	obl
11	el	DET	12	det
12	pequeño	ADJ	14	nsubj
13	fue	AUX	14	aux
14	trasladado	VERB	9	advcl
15	al	ADP	16	case
16	centro	NOUN	14	obl
17	de	ADP	18	case
18	salud	NOUN	16	nmod
19	de	ADP	20	case
20	Olula	PROPN	16	nmod
21	del	ADP	22	case
22	Río	PROPN	20	flat
23	para	ADP	25	mark
24	ser	AUX	25	aux
25	atendido	VERB	14	advcl
26	por	ADP	28	case
27	las	DET	28	det
28	heridas	NOUN	25	obl
29	que	PRON	30	obj
30	presentaba	VERB	28	acl
31	.	PUNCT	4	punct