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:
Después de la entrevista, Valcárcel insistió ante la prensa que hablar de agua es "obligado" para media España y Murcia, región que recibió en el último año hidrológico 153 litros por metro cuadrado de lluvia, y presenta un déficit de 1.064 hectómetros cúbicos anuales.
Postion	Tokenization
1	Después
2	de
3	la
4	entrevista
5	,
6	Valcárcel
7	insistió
8	ante
9	la
10	prensa
11	que
12	hablar
13	de
14	agua
15	es
16	"
17	obligado
18	"
19	para
20	media
21	España
22	y
23	Murcia
24	,
25	región
26	que
27	recibió
28	en
29	el
30	último
31	año
32	hidrológico
33	153
34	litros
35	por
36	metro
37	cuadrado
38	de
39	lluvia
40	,
41	y
42	presenta
43	un
44	déficit
45	de
46	1.064
47	hectómetros
48	cúbicos
49	anuales
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	7	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	entrevista	NOUN	1	obl
5	,	PUNCT	1	punct
6	Valcárcel	PROPN	7	nsubj
7	insistió	VERB	0	root
8	ante	ADP	10	case
9	la	DET	10	det
10	prensa	NOUN	7	obl
11	que	SCONJ	17	mark
12	hablar	VERB	17	csubj
13	de	ADP	14	case
14	agua	NOUN	12	obj
15	es	AUX	17	cop
16	"	PUNCT	17	punct
17	obligado	ADJ	7	ccomp
18	"	PUNCT	17	punct
19	para	ADP	21	case
20	media	NUM	21	nummod
21	España	PROPN	17	obl
22	y	CCONJ	23	cc
23	Murcia	PROPN	21	conj
24	,	PUNCT	25	punct
25	región	NOUN	23	appos
26	que	PRON	27	nsubj
27	recibió	VERB	25	acl
28	en	ADP	31	case
29	el	DET	31	det
30	último	ADJ	31	amod
31	año	NOUN	27	obl
32	hidrológico	ADJ	31	amod
33	153	NUM	34	nummod
34	litros	NOUN	27	obj
35	por	ADP	36	case
36	metro	NOUN	34	nmod
37	cuadrado	ADJ	36	amod
38	de	ADP	39	case
39	lluvia	NOUN	34	nmod
40	,	PUNCT	42	punct
41	y	CCONJ	42	cc
42	presenta	VERB	27	conj
43	un	DET	44	det
44	déficit	NOUN	42	obj
45	de	ADP	47	case
46	1.064	NUM	47	nummod
47	hectómetros	NOUN	44	nmod
48	cúbicos	ADJ	47	amod
49	anuales	ADJ	47	amod
50	.	PUNCT	7	punct