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 POLICÍA COSTERA de Grecia recibió ayer una llamada de auxilio de una nave que pasaba delante de sus costas y que se dirigía presuntamente hacia la isla de Creta.
Postion	Tokenization
1	LA
2	POLICÍA
3	COSTERA
4	de
5	Grecia
6	recibió
7	ayer
8	una
9	llamada
10	de
11	auxilio
12	de
13	una
14	nave
15	que
16	pasaba
17	delante
18	de
19	sus
20	costas
21	y
22	que
23	se
24	dirigía
25	presuntamente
26	hacia
27	la
28	isla
29	de
30	Creta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	LA	DET	2	det
2	POLICÍA	NOUN	6	nsubj
3	COSTERA	ADJ	2	amod
4	de	ADP	5	case
5	Grecia	PROPN	2	nmod
6	recibió	VERB	0	root
7	ayer	ADV	6	advmod
8	una	DET	9	det
9	llamada	NOUN	6	obj
10	de	ADP	11	case
11	auxilio	NOUN	9	nmod
12	de	ADP	14	case
13	una	DET	14	det
14	nave	NOUN	9	nmod
15	que	PRON	16	nsubj
16	pasaba	VERB	14	acl
17	delante	ADV	16	advmod
18	de	ADP	20	case
19	sus	DET	20	det
20	costas	NOUN	17	obl
21	y	CCONJ	24	cc
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pv
24	dirigía	VERB	16	conj
25	presuntamente	ADV	24	advmod
26	hacia	ADP	28	case
27	la	DET	28	det
28	isla	NOUN	24	obl
29	de	ADP	30	case
30	Creta	PROPN	28	nmod
31	.	PUNCT	6	punct