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 PROYECTO municipal, avanzado ayer por L'Informatiu de TVE Catalunya, recuperaría la fauna y la flora subacuáticas en el fondo marino del litoral de la ciudad, lo que permitiría regular posteriormente actividades de submarinismo y pesca entre el Besòs y el Llobregat mediante un plan de usos.
Postion	Tokenization
1	EL
2	PROYECTO
3	municipal
4	,
5	avanzado
6	ayer
7	por
8	L'Informatiu
9	de
10	TVE
11	Catalunya
12	,
13	recuperaría
14	la
15	fauna
16	y
17	la
18	flora
19	subacuáticas
20	en
21	el
22	fondo
23	marino
24	del
25	litoral
26	de
27	la
28	ciudad
29	,
30	lo
31	que
32	permitiría
33	regular
34	posteriormente
35	actividades
36	de
37	submarinismo
38	y
39	pesca
40	entre
41	el
42	Besòs
43	y
44	el
45	Llobregat
46	mediante
47	un
48	plan
49	de
50	usos
51	.
Position	Tokenization	UPOS	Head	Deprel
1	EL	DET	2	det
2	PROYECTO	PROPN	13	nsubj
3	municipal	ADJ	2	amod
4	,	PUNCT	5	punct
5	avanzado	ADJ	2	amod
6	ayer	ADV	5	advmod
7	por	ADP	8	case
8	L'Informatiu	PROPN	5	obj
9	de	ADP	10	case
10	TVE	PROPN	8	nmod
11	Catalunya	PROPN	10	flat
12	,	PUNCT	5	punct
13	recuperaría	VERB	0	root
14	la	DET	15	det
15	fauna	NOUN	13	obj
16	y	CCONJ	18	cc
17	la	DET	18	det
18	flora	NOUN	15	conj
19	subacuáticas	ADJ	15	amod
20	en	ADP	22	case
21	el	DET	22	det
22	fondo	NOUN	13	obl
23	marino	ADJ	22	amod
24	del	ADP	25	case
25	litoral	NOUN	22	nmod
26	de	ADP	28	case
27	la	DET	28	det
28	ciudad	NOUN	25	nmod
29	,	PUNCT	32	punct
30	lo	PRON	32	det
31	que	PRON	32	nsubj
32	permitiría	VERB	13	advcl
33	regular	VERB	32	xcomp
34	posteriormente	ADV	33	advmod
35	actividades	NOUN	33	obj
36	de	ADP	37	case
37	submarinismo	NOUN	35	nmod
38	y	CCONJ	39	cc
39	pesca	NOUN	37	conj
40	entre	ADP	42	case
41	el	DET	42	det
42	Besòs	PROPN	35	nmod
43	y	CCONJ	45	cc
44	el	DET	45	det
45	Llobregat	PROPN	42	conj
46	mediante	ADP	48	case
47	un	DET	48	det
48	plan	NOUN	32	obl
49	de	ADP	50	case
50	usos	NOUN	48	nmod
51	.	PUNCT	13	punct