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:
Era cierto: aquella mujer hermosa, inteligente, de una sensibilidad humana nada común en su medio, había sido durante casi cuarenta años el alma y el cuerpo de su paraíso social.
Postion	Tokenization
1	Era
2	cierto
3	:
4	aquella
5	mujer
6	hermosa
7	,
8	inteligente
9	,
10	de
11	una
12	sensibilidad
13	humana
14	nada
15	común
16	en
17	su
18	medio
19	,
20	había
21	sido
22	durante
23	casi
24	cuarenta
25	años
26	el
27	alma
28	y
29	el
30	cuerpo
31	de
32	su
33	paraíso
34	social
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Era	AUX	2	cop
2	cierto	ADJ	0	root
3	:	PUNCT	27	punct
4	aquella	DET	5	det
5	mujer	NOUN	27	nsubj
6	hermosa	ADJ	5	amod
7	,	PUNCT	6	punct
8	inteligente	ADJ	6	amod
9	,	PUNCT	6	punct
10	de	ADP	12	case
11	una	DET	12	det
12	sensibilidad	NOUN	6	nmod
13	humana	ADJ	12	amod
14	nada	ADV	15	advmod
15	común	ADJ	12	amod
16	en	ADP	18	case
17	su	DET	18	det
18	medio	NOUN	15	nmod
19	,	PUNCT	5	punct
20	había	AUX	27	aux
21	sido	AUX	27	cop
22	durante	ADP	25	case
23	casi	ADV	25	advmod
24	cuarenta	NUM	25	nummod
25	años	NOUN	27	obl
26	el	DET	27	det
27	alma	NOUN	2	advcl
28	y	CCONJ	30	cc
29	el	DET	30	det
30	cuerpo	NOUN	27	conj
31	de	ADP	33	case
32	su	DET	33	det
33	paraíso	NOUN	27	nmod
34	social	ADJ	33	amod
35	.	PUNCT	2	punct