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 agua afectó a la piel del fruto, lo que "supone una devaluación en el mercado", dijo Julio Montfort, de la oficina de la Conselleria d'Agricultura en la Ribera d'Ebre.
Postion	Tokenization
1	El
2	agua
3	afectó
4	a
5	la
6	piel
7	del
8	fruto
9	,
10	lo
11	que
12	"
13	supone
14	una
15	devaluación
16	en
17	el
18	mercado
19	"
20	,
21	dijo
22	Julio
23	Montfort
24	,
25	de
26	la
27	oficina
28	de
29	la
30	Conselleria
31	d'Agricultura
32	en
33	la
34	Ribera
35	d'Ebre
36	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	agua	NOUN	3	nsubj
3	afectó	VERB	21	ccomp
4	a	ADP	6	case
5	la	DET	6	det
6	piel	NOUN	3	obj
7	del	ADP	8	case
8	fruto	NOUN	6	nmod
9	,	PUNCT	13	punct
10	lo	PRON	13	det
11	que	PRON	13	nsubj
12	"	PUNCT	13	punct
13	supone	VERB	3	advcl
14	una	DET	15	det
15	devaluación	NOUN	13	obj
16	en	ADP	18	case
17	el	DET	18	det
18	mercado	NOUN	13	obl
19	"	PUNCT	3	punct
20	,	PUNCT	3	punct
21	dijo	VERB	0	root
22	Julio	PROPN	21	nsubj
23	Montfort	PROPN	22	flat
24	,	PUNCT	27	punct
25	de	ADP	27	case
26	la	DET	27	det
27	oficina	NOUN	22	nmod
28	de	ADP	30	case
29	la	DET	30	det
30	Conselleria	PROPN	27	nmod
31	d'Agricultura	PROPN	30	flat
32	en	ADP	34	case
33	la	DET	34	det
34	Ribera	PROPN	27	nmod
35	d'Ebre	PROPN	34	flat
36	.	PUNCT	21	punct