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:
Este acceso directo a la investigación nuclear ha proporcionado a los ejércitos la posibilidad de disfrutar de cada vez más y mejores armas nucleares.
Postion	Tokenization
1	Este
2	acceso
3	directo
4	a
5	la
6	investigación
7	nuclear
8	ha
9	proporcionado
10	a
11	los
12	ejércitos
13	la
14	posibilidad
15	de
16	disfrutar
17	de
18	cada
19	vez
20	más
21	y
22	mejores
23	armas
24	nucleares
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	2	det
2	acceso	NOUN	9	nsubj
3	directo	ADJ	2	amod
4	a	ADP	6	case
5	la	DET	6	det
6	investigación	NOUN	2	nmod
7	nuclear	ADJ	6	amod
8	ha	AUX	9	aux
9	proporcionado	VERB	0	root
10	a	ADP	12	case
11	los	DET	12	det
12	ejércitos	NOUN	9	obj
13	la	DET	14	det
14	posibilidad	NOUN	9	obj
15	de	ADP	16	mark
16	disfrutar	VERB	14	acl
17	de	ADP	19	case
18	cada	DET	19	det
19	vez	NOUN	16	obj
20	más	ADV	23	advmod
21	y	CCONJ	22	cc
22	mejores	ADJ	20	conj
23	armas	NOUN	19	appos
24	nucleares	ADJ	23	amod
25	.	PUNCT	9	punct