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 presidente de Cuba, Fidel Castro, tal y como había prometido, se fue a la playa ayer, el día de las elecciones presidenciales en Estados Unidos, informó hoy la televisión local.
Postion	Tokenization
1	El
2	presidente
3	de
4	Cuba
5	,
6	Fidel
7	Castro
8	,
9	tal
10	y
11	como
12	había
13	prometido
14	,
15	se
16	fue
17	a
18	la
19	playa
20	ayer
21	,
22	el
23	día
24	de
25	las
26	elecciones
27	presidenciales
28	en
29	Estados
30	Unidos
31	,
32	informó
33	hoy
34	la
35	televisión
36	local
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	16	nsubj
3	de	ADP	4	case
4	Cuba	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Fidel	PROPN	2	appos
7	Castro	PROPN	6	flat
8	,	PUNCT	13	punct
9	tal	NOUN	13	mark
10	y	CCONJ	9	fixed
11	como	SCONJ	9	fixed
12	había	AUX	13	aux
13	prometido	VERB	16	advcl
14	,	PUNCT	13	punct
15	se	PRON	16	expl:pv
16	fue	VERB	32	ccomp
17	a	ADP	19	case
18	la	DET	19	det
19	playa	NOUN	16	obl
20	ayer	ADV	16	advmod
21	,	PUNCT	23	punct
22	el	DET	23	det
23	día	NOUN	20	obl
24	de	ADP	26	case
25	las	DET	26	det
26	elecciones	NOUN	23	nmod
27	presidenciales	ADJ	26	amod
28	en	ADP	29	case
29	Estados	PROPN	26	nmod
30	Unidos	PROPN	29	flat
31	,	PUNCT	16	punct
32	informó	VERB	0	root
33	hoy	ADV	32	advmod
34	la	DET	35	det
35	televisión	NOUN	32	nsubj
36	local	ADJ	35	amod
37	.	PUNCT	32	punct