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:
En los alrededores de Lima malviven entre chabolas varios millones de personas; sólo en Villa El Salvador, el suburbio de la Madre Coraje, hay 300.000 habitantes.
Postion	Tokenization
1	En
2	los
3	alrededores
4	de
5	Lima
6	malviven
7	entre
8	chabolas
9	varios
10	millones
11	de
12	personas
13	;
14	sólo
15	en
16	Villa
17	El
18	Salvador
19	,
20	el
21	suburbio
22	de
23	la
24	Madre
25	Coraje
26	,
27	hay
28	300.000
29	habitantes
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	los	DET	3	det
3	alrededores	NOUN	6	obl
4	de	ADP	5	case
5	Lima	PROPN	3	nmod
6	malviven	VERB	0	root
7	entre	ADP	8	case
8	chabolas	NOUN	6	obl
9	varios	DET	10	det
10	millones	NOUN	6	nsubj
11	de	ADP	12	case
12	personas	NOUN	10	nmod
13	;	PUNCT	6	punct
14	sólo	ADV	27	advmod
15	en	ADP	16	case
16	Villa	PROPN	27	obl
17	El	DET	18	det
18	Salvador	PROPN	16	flat
19	,	PUNCT	21	punct
20	el	DET	21	det
21	suburbio	NOUN	16	appos
22	de	ADP	24	case
23	la	DET	24	det
24	Madre	PROPN	21	nmod
25	Coraje	PROPN	24	flat
26	,	PUNCT	21	punct
27	hay	AUX	6	advcl
28	300.000	NUM	29	nummod
29	habitantes	NOUN	27	obj
30	.	PUNCT	6	punct