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 submarinista de Lleida Josep Maria Castellví y el editor audiovisual Marcel Curcoy, también de la ciudad, recibieron ayer en Niza (Francia) el tercer premio en la categoría de pequeños formatos en el 25º Festival Mundial de la Imagen Bajo el Mar.
Postion	Tokenization
1	El
2	submarinista
3	de
4	Lleida
5	Josep
6	Maria
7	Castellví
8	y
9	el
10	editor
11	audiovisual
12	Marcel
13	Curcoy
14	,
15	también
16	de
17	la
18	ciudad
19	,
20	recibieron
21	ayer
22	en
23	Niza
24	(
25	Francia
26	)
27	el
28	tercer
29	premio
30	en
31	la
32	categoría
33	de
34	pequeños
35	formatos
36	en
37	el
38	25º
39	Festival
40	Mundial
41	de
42	la
43	Imagen
44	Bajo
45	el
46	Mar
47	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	submarinista	NOUN	20	nsubj
3	de	ADP	4	case
4	Lleida	PROPN	2	nmod
5	Josep	PROPN	2	appos
6	Maria	PROPN	5	flat
7	Castellví	PROPN	5	flat
8	y	CCONJ	10	cc
9	el	DET	10	det
10	editor	NOUN	2	conj
11	audiovisual	ADJ	10	amod
12	Marcel	PROPN	10	appos
13	Curcoy	PROPN	12	flat
14	,	PUNCT	15	punct
15	también	ADV	10	advmod
16	de	ADP	15	case
17	la	DET	18	det
18	ciudad	NOUN	15	nmod
19	,	PUNCT	15	punct
20	recibieron	VERB	0	root
21	ayer	ADV	20	advmod
22	en	ADP	23	case
23	Niza	PROPN	20	obl
24	(	PUNCT	25	punct
25	Francia	PROPN	23	flat
26	)	PUNCT	25	punct
27	el	DET	29	det
28	tercer	ADJ	29	amod
29	premio	NOUN	20	obj
30	en	ADP	32	case
31	la	DET	32	det
32	categoría	NOUN	29	nmod
33	de	ADP	35	case
34	pequeños	ADJ	35	amod
35	formatos	NOUN	32	nmod
36	en	ADP	39	case
37	el	DET	39	det
38	25º	NUM	39	nummod
39	Festival	PROPN	20	obl
40	Mundial	PROPN	39	flat
41	de	ADP	43	case
42	la	DET	43	det
43	Imagen	PROPN	39	flat
44	Bajo	PROPN	39	flat
45	el	DET	46	det
46	Mar	PROPN	39	flat
47	.	PUNCT	20	punct