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:
Otra de las cuestiones a las que dedicará especial atención será la mejora de las infraestructuras, instalaciones y servicios portuarios, para rentabilizar mejor las inversiones y para capitalizar los beneficios.
Postion	Tokenization
1	Otra
2	de
3	las
4	cuestiones
5	a
6	las
7	que
8	dedicará
9	especial
10	atención
11	será
12	la
13	mejora
14	de
15	las
16	infraestructuras
17	,
18	instalaciones
19	y
20	servicios
21	portuarios
22	,
23	para
24	rentabilizar
25	mejor
26	las
27	inversiones
28	y
29	para
30	capitalizar
31	los
32	beneficios
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Otra	PRON	13	nsubj
2	de	ADP	4	case
3	las	DET	4	det
4	cuestiones	NOUN	1	nmod
5	a	ADP	7	case
6	las	DET	7	det
7	que	PRON	8	obj
8	dedicará	VERB	4	acl
9	especial	ADJ	10	amod
10	atención	NOUN	8	obj
11	será	AUX	13	cop
12	la	DET	13	det
13	mejora	NOUN	0	root
14	de	ADP	16	case
15	las	DET	16	det
16	infraestructuras	NOUN	13	nmod
17	,	PUNCT	18	punct
18	instalaciones	NOUN	16	appos
19	y	CCONJ	20	cc
20	servicios	NOUN	16	conj
21	portuarios	ADJ	20	amod
22	,	PUNCT	24	punct
23	para	ADP	24	mark
24	rentabilizar	VERB	13	acl
25	mejor	ADV	24	advmod
26	las	DET	27	det
27	inversiones	NOUN	24	obj
28	y	CCONJ	30	cc
29	para	ADP	30	mark
30	capitalizar	VERB	24	conj
31	los	DET	32	det
32	beneficios	NOUN	30	obj
33	.	PUNCT	13	punct