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:
Tantas viudas de su vida, desde la viuda de Nazaret habían hecho posible que él vislumbrara cómo eran las casadas felices después de la muerte de sus maridos.
Postion	Tokenization
1	Tantas
2	viudas
3	de
4	su
5	vida
6	,
7	desde
8	la
9	viuda
10	de
11	Nazaret
12	habían
13	hecho
14	posible
15	que
16	él
17	vislumbrara
18	cómo
19	eran
20	las
21	casadas
22	felices
23	después
24	de
25	la
26	muerte
27	de
28	sus
29	maridos
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tantas	DET	2	det
2	viudas	NOUN	13	nsubj
3	de	ADP	5	case
4	su	DET	5	det
5	vida	NOUN	2	nmod
6	,	PUNCT	9	punct
7	desde	ADP	9	case
8	la	DET	9	det
9	viuda	NOUN	2	nmod
10	de	ADP	11	case
11	Nazaret	PROPN	9	nmod
12	habían	AUX	13	aux
13	hecho	VERB	0	root
14	posible	ADJ	13	iobj
15	que	SCONJ	17	mark
16	él	PRON	17	nsubj
17	vislumbrara	VERB	13	ccomp
18	cómo	PRON	17	ccomp
19	eran	AUX	18	cop
20	las	DET	21	det
21	casadas	NOUN	18	nsubj
22	felices	ADJ	21	amod
23	después	ADV	18	advmod
24	de	ADP	26	case
25	la	DET	26	det
26	muerte	NOUN	23	obl
27	de	ADP	29	case
28	sus	DET	29	det
29	maridos	NOUN	26	nmod
30	.	PUNCT	13	punct