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:
Los ecologistas denuncian ante el TSJC la concesión por la Agència Catalana del'Aigua de caudales de la depuradora de Les Fonts para el futuro campo de Torrebonica.
Postion	Tokenization
1	Los
2	ecologistas
3	denuncian
4	ante
5	el
6	TSJC
7	la
8	concesión
9	por
10	la
11	Agència
12	Catalana
13	del'
14	Aigua
15	de
16	caudales
17	de
18	la
19	depuradora
20	de
21	Les
22	Fonts
23	para
24	el
25	futuro
26	campo
27	de
28	Torrebonica
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	ecologistas	NOUN	3	nsubj
3	denuncian	VERB	0	root
4	ante	ADP	6	case
5	el	DET	6	det
6	TSJC	PROPN	3	obl
7	la	DET	8	det
8	concesión	NOUN	3	obj
9	por	ADP	11	case
10	la	DET	11	det
11	Agència	PROPN	8	nmod
12	Catalana	PROPN	11	flat
13	del'	PROPN	11	flat
14	Aigua	PROPN	11	flat
15	de	ADP	16	case
16	caudales	NOUN	8	nmod
17	de	ADP	19	case
18	la	DET	19	det
19	depuradora	NOUN	16	nmod
20	de	ADP	22	case
21	Les	PRON	22	det
22	Fonts	PROPN	19	nmod
23	para	ADP	26	case
24	el	DET	26	det
25	futuro	ADJ	26	amod
26	campo	NOUN	8	nmod
27	de	ADP	28	case
28	Torrebonica	PROPN	26	nmod
29	.	PUNCT	3	punct