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:
Los científicos aconsejan medidas que impidan la pesca orientada directamente a la "maruca azul" y que reduzcan las capturas accesorias de esa especie.
Postion	Tokenization
1	Los
2	científicos
3	aconsejan
4	medidas
5	que
6	impidan
7	la
8	pesca
9	orientada
10	directamente
11	a
12	la
13	"
14	maruca
15	azul
16	"
17	y
18	que
19	reduzcan
20	las
21	capturas
22	accesorias
23	de
24	esa
25	especie
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	científicos	NOUN	3	nsubj
3	aconsejan	VERB	0	root
4	medidas	NOUN	3	obj
5	que	PRON	6	nsubj
6	impidan	VERB	4	acl
7	la	DET	8	det
8	pesca	NOUN	6	obj
9	orientada	ADJ	8	amod
10	directamente	ADV	9	advmod
11	a	ADP	14	case
12	la	DET	14	det
13	"	PUNCT	14	punct
14	maruca	NOUN	9	obj
15	azul	ADJ	14	amod
16	"	PUNCT	14	punct
17	y	CCONJ	19	cc
18	que	PRON	19	nsubj
19	reduzcan	VERB	6	conj
20	las	DET	21	det
21	capturas	NOUN	19	obj
22	accesorias	ADJ	21	amod
23	de	ADP	25	case
24	esa	DET	25	det
25	especie	NOUN	21	nmod
26	.	PUNCT	3	punct