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:
La diputación ha iniciado negociaciones con el Ministerio de Defensa y está interesada en construir un centro de ocio y una escuela forestal.
Postion	Tokenization
1	La
2	diputación
3	ha
4	iniciado
5	negociaciones
6	con
7	el
8	Ministerio
9	de
10	Defensa
11	y
12	está
13	interesada
14	en
15	construir
16	un
17	centro
18	de
19	ocio
20	y
21	una
22	escuela
23	forestal
24	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	diputación	NOUN	4	nsubj
3	ha	AUX	4	aux
4	iniciado	VERB	0	root
5	negociaciones	NOUN	4	obj
6	con	ADP	8	case
7	el	DET	8	det
8	Ministerio	PROPN	5	nmod
9	de	ADP	10	case
10	Defensa	PROPN	8	flat
11	y	CCONJ	13	cc
12	está	AUX	13	cop
13	interesada	ADJ	4	conj
14	en	ADP	15	mark
15	construir	VERB	13	xcomp
16	un	DET	17	det
17	centro	NOUN	15	obj
18	de	ADP	19	case
19	ocio	NOUN	17	nmod
20	y	CCONJ	22	cc
21	una	DET	22	det
22	escuela	NOUN	17	conj
23	forestal	ADJ	22	amod
24	.	PUNCT	4	punct