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:
Aspiraban a más: a mejorar su situación, a ser felices; pero les atrapó la miseria suburbana y subhumana, la ferocidad y la violencia de los arrabales.
Postion	Tokenization
1	Aspiraban
2	a
3	más
4	:
5	a
6	mejorar
7	su
8	situación
9	,
10	a
11	ser
12	felices
13	;
14	pero
15	les
16	atrapó
17	la
18	miseria
19	suburbana
20	y
21	subhumana
22	,
23	la
24	ferocidad
25	y
26	la
27	violencia
28	de
29	los
30	arrabales
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Aspiraban	VERB	0	root
2	a	ADP	3	case
3	más	ADV	1	iobj
4	:	PUNCT	6	punct
5	a	ADP	6	mark
6	mejorar	VERB	1	xcomp
7	su	DET	8	det
8	situación	NOUN	6	obj
9	,	PUNCT	12	punct
10	a	ADP	12	mark
11	ser	AUX	12	cop
12	felices	ADJ	6	conj
13	;	PUNCT	16	punct
14	pero	CCONJ	16	cc
15	les	PRON	16	obj
16	atrapó	VERB	1	conj
17	la	DET	18	det
18	miseria	NOUN	16	nsubj
19	suburbana	ADJ	18	amod
20	y	CCONJ	21	cc
21	subhumana	ADJ	19	conj
22	,	PUNCT	24	punct
23	la	DET	24	det
24	ferocidad	NOUN	18	appos
25	y	CCONJ	27	cc
26	la	DET	27	det
27	violencia	NOUN	18	conj
28	de	ADP	30	case
29	los	DET	30	det
30	arrabales	NOUN	18	nmod
31	.	PUNCT	1	punct