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:
Unos 2,5 millones de personas residen en Puerto Príncipe, pero la mayoría de ellas carece de servicios básicos, tales como luz, agua potable o asistencia hospitalaria.
Postion	Tokenization
1	Unos
2	2,5
3	millones
4	de
5	personas
6	residen
7	en
8	Puerto
9	Príncipe
10	,
11	pero
12	la
13	mayoría
14	de
15	ellas
16	carece
17	de
18	servicios
19	básicos
20	,
21	tales
22	como
23	luz
24	,
25	agua
26	potable
27	o
28	asistencia
29	hospitalaria
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Unos	PRON	2	nmod
2	2,5	NUM	3	nummod
3	millones	NOUN	6	nsubj
4	de	ADP	5	case
5	personas	NOUN	3	nmod
6	residen	VERB	0	root
7	en	ADP	8	case
8	Puerto	PROPN	6	obl
9	Príncipe	PROPN	8	flat
10	,	PUNCT	16	punct
11	pero	CCONJ	16	cc
12	la	DET	13	det
13	mayoría	NOUN	15	nmod
14	de	ADP	13	case
15	ellas	PRON	16	nsubj
16	carece	VERB	6	conj
17	de	ADP	18	case
18	servicios	NOUN	16	obj
19	básicos	ADJ	18	amod
20	,	PUNCT	21	punct
21	tales	PRON	18	appos
22	como	SCONJ	23	mark
23	luz	NOUN	21	nmod
24	,	PUNCT	25	punct
25	agua	NOUN	23	conj
26	potable	ADJ	25	amod
27	o	CCONJ	28	cc
28	asistencia	NOUN	23	conj
29	hospitalaria	ADJ	28	amod
30	.	PUNCT	6	punct