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:
Según la nota, el presunto atentado iba a ser ejecutado durante un acto programado para el sábado pasado en la Universidad de Panamá y al que asistió Fidel Castro, cuya presencia "se daba por segura".
Postion	Tokenization
1	Según
2	la
3	nota
4	,
5	el
6	presunto
7	atentado
8	iba
9	a
10	ser
11	ejecutado
12	durante
13	un
14	acto
15	programado
16	para
17	el
18	sábado
19	pasado
20	en
21	la
22	Universidad
23	de
24	Panamá
25	y
26	al
27	que
28	asistió
29	Fidel
30	Castro
31	,
32	cuya
33	presencia
34	"
35	se
36	daba
37	por
38	segura
39	"
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	la	DET	3	det
3	nota	NOUN	11	obl
4	,	PUNCT	3	punct
5	el	DET	7	det
6	presunto	ADJ	7	amod
7	atentado	NOUN	11	nsubj
8	iba	AUX	11	aux
9	a	ADP	11	mark
10	ser	AUX	11	aux
11	ejecutado	VERB	0	root
12	durante	ADP	14	case
13	un	DET	14	det
14	acto	NOUN	11	obl
15	programado	ADJ	14	amod
16	para	ADP	18	case
17	el	DET	18	det
18	sábado	NOUN	15	obl
19	pasado	ADJ	18	amod
20	en	ADP	22	case
21	la	DET	22	det
22	Universidad	PROPN	15	obl
23	de	ADP	24	case
24	Panamá	PROPN	22	flat
25	y	CCONJ	28	cc
26	al	ADP	27	case
27	que	PRON	28	obl
28	asistió	VERB	15	conj
29	Fidel	PROPN	28	nsubj
30	Castro	PROPN	29	flat
31	,	PUNCT	36	punct
32	cuya	PRON	33	nmod
33	presencia	NOUN	36	nsubj
34	"	PUNCT	36	punct
35	se	PRON	36	expl:pass
36	daba	VERB	29	acl
37	por	ADP	38	case
38	segura	ADJ	36	advmod
39	"	PUNCT	36	punct
40	.	PUNCT	11	punct