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:
LAS AUTORIDADES de Agadir han impuesto una multa de 38,5 millones de pesetas (232.000 euros) al Lameiro Uno, un pesquero gallego con 13 tripulantes, acusado de faenar sin licencia en aguas marroquís.
Postion	Tokenization
1	LAS
2	AUTORIDADES
3	de
4	Agadir
5	han
6	impuesto
7	una
8	multa
9	de
10	38,5
11	millones
12	de
13	pesetas
14	(
15	232.000
16	euros
17	)
18	al
19	Lameiro
20	Uno
21	,
22	un
23	pesquero
24	gallego
25	con
26	13
27	tripulantes
28	,
29	acusado
30	de
31	faenar
32	sin
33	licencia
34	en
35	aguas
36	marroquís
37	.
Position	Tokenization	UPOS	Head	Deprel
1	LAS	DET	2	det
2	AUTORIDADES	NOUN	6	nsubj
3	de	ADP	4	case
4	Agadir	PROPN	2	nmod
5	han	AUX	6	aux
6	impuesto	VERB	0	root
7	una	DET	8	det
8	multa	NOUN	6	obj
9	de	ADP	11	case
10	38,5	NUM	11	nummod
11	millones	NOUN	8	nmod
12	de	ADP	13	case
13	pesetas	NOUN	11	nmod
14	(	PUNCT	16	punct
15	232.000	NUM	16	nummod
16	euros	NOUN	11	appos
17	)	PUNCT	16	punct
18	al	ADP	19	case
19	Lameiro	PROPN	6	obj
20	Uno	PROPN	19	flat
21	,	PUNCT	23	punct
22	un	DET	23	det
23	pesquero	NOUN	19	appos
24	gallego	ADJ	23	amod
25	con	ADP	27	case
26	13	NUM	27	nummod
27	tripulantes	NOUN	23	nmod
28	,	PUNCT	29	punct
29	acusado	ADJ	23	amod
30	de	ADP	31	mark
31	faenar	VERB	29	xcomp
32	sin	ADP	33	case
33	licencia	NOUN	31	obl
34	en	ADP	35	case
35	aguas	NOUN	31	obl
36	marroquís	ADJ	35	amod
37	.	PUNCT	6	punct