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:
La ONG ecologista Mediterrània anunció ayer que se movilizará si las administraciones públicas no garantizan la conservación de la desembocadura del Francolí en Tarragona.
Postion	Tokenization
1	La
2	ONG
3	ecologista
4	Mediterrània
5	anunció
6	ayer
7	que
8	se
9	movilizará
10	si
11	las
12	administraciones
13	públicas
14	no
15	garantizan
16	la
17	conservación
18	de
19	la
20	desembocadura
21	del
22	Francolí
23	en
24	Tarragona
25	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ONG	PROPN	5	nsubj
3	ecologista	ADJ	2	amod
4	Mediterrània	PROPN	2	flat
5	anunció	VERB	0	root
6	ayer	ADV	5	advmod
7	que	SCONJ	9	mark
8	se	PRON	9	expl:pv
9	movilizará	VERB	5	ccomp
10	si	SCONJ	15	mark
11	las	DET	12	det
12	administraciones	NOUN	15	nsubj
13	públicas	ADJ	12	amod
14	no	ADV	15	advmod
15	garantizan	VERB	9	advcl
16	la	DET	17	det
17	conservación	NOUN	15	obj
18	de	ADP	20	case
19	la	DET	20	det
20	desembocadura	NOUN	17	nmod
21	del	ADP	22	case
22	Francolí	PROPN	20	nmod
23	en	ADP	24	case
24	Tarragona	PROPN	20	nmod
25	.	PUNCT	5	punct