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:
Esta cifra no sólo ha atraído la atención de las empresas estadounidenses, sino que también ha aumentado su ansiedad, pues augura una gran competencia internacional por la conquista de Cuba, cuando desaparezca el embargo.
Postion	Tokenization
1	Esta
2	cifra
3	no
4	sólo
5	ha
6	atraído
7	la
8	atención
9	de
10	las
11	empresas
12	estadounidenses
13	,
14	sino
15	que
16	también
17	ha
18	aumentado
19	su
20	ansiedad
21	,
22	pues
23	augura
24	una
25	gran
26	competencia
27	internacional
28	por
29	la
30	conquista
31	de
32	Cuba
33	,
34	cuando
35	desaparezca
36	el
37	embargo
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Esta	DET	2	det
2	cifra	NOUN	6	nsubj
3	no	PART	6	advmod
4	sólo	ADV	3	fixed
5	ha	AUX	6	aux
6	atraído	VERB	14	parataxis
7	la	DET	8	det
8	atención	NOUN	6	obj
9	de	ADP	11	case
10	las	DET	11	det
11	empresas	NOUN	8	nmod
12	estadounidenses	ADJ	11	amod
13	,	PUNCT	14	punct
14	sino	CCONJ	0	root
15	que	SCONJ	14	fixed
16	también	ADV	18	advmod
17	ha	AUX	18	aux
18	aumentado	VERB	14	parataxis
19	su	DET	20	det
20	ansiedad	NOUN	18	obj
21	,	PUNCT	23	punct
22	pues	SCONJ	23	mark
23	augura	VERB	18	advcl
24	una	DET	26	det
25	gran	ADJ	26	amod
26	competencia	NOUN	23	obj
27	internacional	ADJ	26	amod
28	por	ADP	30	case
29	la	DET	30	det
30	conquista	NOUN	26	nmod
31	de	ADP	32	case
32	Cuba	PROPN	30	nmod
33	,	PUNCT	35	punct
34	cuando	SCONJ	35	mark
35	desaparezca	VERB	23	advcl
36	el	DET	37	det
37	embargo	NOUN	35	nsubj
38	.	PUNCT	14	punct