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:
"También el viernes se está contemplando (tomar) el puerto de Miami, porque ese es el día de mayor actividad de los cruceros", agregó.
Postion	Tokenization
1	"
2	También
3	el
4	viernes
5	se
6	está
7	contemplando
8	(
9	tomar
10	)
11	el
12	puerto
13	de
14	Miami
15	,
16	porque
17	ese
18	es
19	el
20	día
21	de
22	mayor
23	actividad
24	de
25	los
26	cruceros
27	"
28	,
29	agregó
30	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	También	ADV	7	advmod
3	el	DET	4	det
4	viernes	NOUN	7	obl
5	se	PRON	7	expl:pass
6	está	AUX	7	aux
7	contemplando	VERB	29	ccomp
8	(	PUNCT	9	punct
9	tomar	VERB	7	csubj
10	)	PUNCT	9	punct
11	el	DET	12	det
12	puerto	NOUN	9	obj
13	de	ADP	14	case
14	Miami	PROPN	12	nmod
15	,	PUNCT	20	punct
16	porque	SCONJ	20	mark
17	ese	PRON	20	nsubj
18	es	AUX	20	cop
19	el	DET	20	det
20	día	NOUN	7	advcl
21	de	ADP	23	case
22	mayor	ADJ	23	amod
23	actividad	NOUN	20	nmod
24	de	ADP	26	case
25	los	DET	26	det
26	cruceros	NOUN	23	nmod
27	"	PUNCT	7	punct
28	,	PUNCT	7	punct
29	agregó	VERB	0	root
30	.	PUNCT	29	punct