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:
Recomiendan un recorte del 30 por ciento de las capturas de "maruca" y "brosmio" y reducciones aún mayores para otras especies de profundidad.
Postion	Tokenization
1	Recomiendan
2	un
3	recorte
4	del
5	30
6	por
7	ciento
8	de
9	las
10	capturas
11	de
12	"
13	maruca
14	"
15	y
16	"
17	brosmio
18	"
19	y
20	reducciones
21	aún
22	mayores
23	para
24	otras
25	especies
26	de
27	profundidad
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Recomiendan	VERB	0	root
2	un	DET	3	det
3	recorte	NOUN	1	obj
4	del	ADP	5	case
5	30	NUM	3	nummod
6	por	ADP	7	case
7	ciento	NUM	5	compound
8	de	ADP	10	case
9	las	DET	10	det
10	capturas	NOUN	5	nmod
11	de	ADP	13	case
12	"	PUNCT	13	punct
13	maruca	NOUN	10	nmod
14	"	PUNCT	17	punct
15	y	CCONJ	17	cc
16	"	PUNCT	17	punct
17	brosmio	NOUN	13	conj
18	"	PUNCT	17	punct
19	y	CCONJ	20	cc
20	reducciones	NOUN	3	conj
21	aún	ADV	22	advmod
22	mayores	ADJ	20	amod
23	para	ADP	25	case
24	otras	DET	25	det
25	especies	NOUN	20	nmod
26	de	ADP	27	case
27	profundidad	NOUN	25	nmod
28	.	PUNCT	1	punct