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:
Nadie que conozca las políticas y los problemas que aquejan al sector pesquero puede mostrarse sorprendido de la actitud marroquí.
Postion	Tokenization
1	Nadie
2	que
3	conozca
4	las
5	políticas
6	y
7	los
8	problemas
9	que
10	aquejan
11	al
12	sector
13	pesquero
14	puede
15	mostrarse
16	mostrar
17	se
18	sorprendido
19	de
20	la
21	actitud
22	marroquí
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Nadie	PRON	15	nsubj
2	que	PRON	3	nsubj
3	conozca	VERB	1	acl
4	las	DET	5	det
5	políticas	NOUN	3	obj
6	y	CCONJ	8	cc
7	los	DET	8	det
8	problemas	NOUN	5	conj
9	que	PRON	10	nsubj
10	aquejan	VERB	5	acl
11	al	ADP	12	case
12	sector	NOUN	10	obl
13	pesquero	ADJ	12	amod
14	puede	AUX	15	aux
15	mostrarse	_	None	_
16	mostrar	VERB	0	root
17	se	PRON	15	expl:pv
18	sorprendido	ADJ	15	obj
19	de	ADP	20	case
20	la	DET	20	det
21	actitud	NOUN	17	obl
22	marroquí	ADJ	20	amod
23	.	PUNCT	15	punct