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:
Haití fue reducto de esclavos africanos, que llegaron en masa a bordo de barcos de traficantes para explotar las plantaciones de caña de azúcar.
Postion	Tokenization
1	Haití
2	fue
3	reducto
4	de
5	esclavos
6	africanos
7	,
8	que
9	llegaron
10	en
11	masa
12	a
13	bordo
14	de
15	barcos
16	de
17	traficantes
18	para
19	explotar
20	las
21	plantaciones
22	de
23	caña
24	de
25	azúcar
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Haití	PROPN	3	nsubj
2	fue	AUX	3	cop
3	reducto	NOUN	0	root
4	de	ADP	5	case
5	esclavos	NOUN	3	nmod
6	africanos	ADJ	5	amod
7	,	PUNCT	9	punct
8	que	PRON	9	nsubj
9	llegaron	VERB	5	acl
10	en	ADP	9	advmod
11	masa	NOUN	10	fixed
12	a	ADP	9	advmod
13	bordo	NOUN	12	fixed
14	de	ADP	12	fixed
15	barcos	NOUN	12	obl
16	de	ADP	17	case
17	traficantes	NOUN	15	nmod
18	para	ADP	19	mark
19	explotar	VERB	9	advcl
20	las	DET	21	det
21	plantaciones	NOUN	19	obj
22	de	ADP	23	case
23	caña	NOUN	21	nmod
24	de	ADP	25	case
25	azúcar	NOUN	23	nmod
26	.	PUNCT	3	punct