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:
El director del experimento explicó a EFE que los conflictos del futuro serán muy distintos a los del pasado, pues es muy probable que el enemigo no use uniformes, ni se nos presente con enormes divisiones mecanizadas.
Postion	Tokenization
1	El
2	director
3	del
4	experimento
5	explicó
6	a
7	EFE
8	que
9	los
10	conflictos
11	del
12	futuro
13	serán
14	muy
15	distintos
16	a
17	los
18	del
19	pasado
20	,
21	pues
22	es
23	muy
24	probable
25	que
26	el
27	enemigo
28	no
29	use
30	uniformes
31	,
32	ni
33	se
34	nos
35	presente
36	con
37	enormes
38	divisiones
39	mecanizadas
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	director	NOUN	5	nsubj
3	del	ADP	4	case
4	experimento	NOUN	2	nmod
5	explicó	VERB	0	root
6	a	ADP	7	case
7	EFE	PROPN	5	iobj
8	que	SCONJ	15	mark
9	los	DET	10	det
10	conflictos	NOUN	15	nsubj
11	del	ADP	12	case
12	futuro	NOUN	10	nmod
13	serán	AUX	15	cop
14	muy	ADV	15	advmod
15	distintos	ADJ	5	ccomp
16	a	ADP	17	case
17	los	DET	15	det
18	del	ADP	17	case
19	pasado	NOUN	17	nmod
20	,	PUNCT	24	punct
21	pues	SCONJ	24	mark
22	es	AUX	24	cop
23	muy	ADV	24	advmod
24	probable	ADJ	15	advcl
25	que	SCONJ	29	mark
26	el	DET	27	det
27	enemigo	NOUN	29	nsubj
28	no	ADV	29	advmod
29	use	VERB	24	csubj
30	uniformes	NOUN	29	obj
31	,	PUNCT	35	punct
32	ni	CCONJ	35	cc
33	se	PRON	35	obj
34	nos	PRON	35	obj
35	presente	VERB	29	conj
36	con	ADP	38	case
37	enormes	ADJ	38	amod
38	divisiones	NOUN	35	obl
39	mecanizadas	ADJ	38	amod
40	.	PUNCT	5	punct