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 concejal del Ciclo Integral del Agua, Ramón Isidro Sanchís, explicó que, entre la medianoche y las siete de la mañana de ayer, las estaciones de bombeo y colectores "evacuaron un total de 8.540.000 metros cúbicos, equivalentes a 4.500 piscinas olímpicas".
Postion	Tokenization
1	El
2	concejal
3	del
4	Ciclo
5	Integral
6	del
7	Agua
8	,
9	Ramón
10	Isidro
11	Sanchís
12	,
13	explicó
14	que
15	,
16	entre
17	la
18	medianoche
19	y
20	las
21	siete
22	de
23	la
24	mañana
25	de
26	ayer
27	,
28	las
29	estaciones
30	de
31	bombeo
32	y
33	colectores
34	"
35	evacuaron
36	un
37	total
38	de
39	8.540.000
40	metros
41	cúbicos
42	,
43	equivalentes
44	a
45	4.500
46	piscinas
47	olímpicas
48	"
49	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	concejal	NOUN	13	nsubj
3	del	ADP	4	case
4	Ciclo	PROPN	2	nmod
5	Integral	PROPN	4	flat
6	del	ADP	7	case
7	Agua	PROPN	4	flat
8	,	PUNCT	9	punct
9	Ramón	PROPN	2	appos
10	Isidro	PROPN	9	flat
11	Sanchís	PROPN	9	flat
12	,	PUNCT	9	punct
13	explicó	VERB	0	root
14	que	SCONJ	35	mark
15	,	PUNCT	18	punct
16	entre	ADP	18	case
17	la	DET	18	det
18	medianoche	NOUN	35	obl
19	y	CCONJ	21	cc
20	las	DET	21	det
21	siete	NUM	18	conj
22	de	ADP	24	case
23	la	DET	24	det
24	mañana	NOUN	21	nmod
25	de	ADP	26	case
26	ayer	ADV	24	advmod
27	,	PUNCT	18	punct
28	las	DET	29	det
29	estaciones	NOUN	35	nsubj
30	de	ADP	31	case
31	bombeo	NOUN	29	nmod
32	y	CCONJ	33	cc
33	colectores	NOUN	29	conj
34	"	PUNCT	35	punct
35	evacuaron	VERB	13	ccomp
36	un	PRON	39	nmod
37	total	ADJ	39	amod
38	de	ADP	39	case
39	8.540.000	NUM	40	nummod
40	metros	NOUN	35	obj
41	cúbicos	NOUN	40	compound
42	,	PUNCT	40	punct
43	equivalentes	ADJ	40	amod
44	a	ADP	46	case
45	4.500	NUM	46	nummod
46	piscinas	NOUN	43	nmod
47	olímpicas	ADJ	46	amod
48	"	PUNCT	35	punct
49	.	PUNCT	13	punct