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:
Luego, después de una viudez en la que derramó muchas lágrimas sinceras por su esposo muerto, en vez de asistir a los tablaos, iba a las tertulias de intelectuales.
Postion	Tokenization
1	Luego
2	,
3	después
4	de
5	una
6	viudez
7	en
8	la
9	que
10	derramó
11	muchas
12	lágrimas
13	sinceras
14	por
15	su
16	esposo
17	muerto
18	,
19	en
20	vez
21	de
22	asistir
23	a
24	los
25	tablaos
26	,
27	iba
28	a
29	las
30	tertulias
31	de
32	intelectuales
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Luego	ADV	27	advmod
2	,	PUNCT	3	punct
3	después	ADV	27	advmod
4	de	ADP	6	case
5	una	DET	6	det
6	viudez	NOUN	3	obl
7	en	ADP	9	case
8	la	DET	9	det
9	que	PRON	10	obl
10	derramó	VERB	6	acl
11	muchas	DET	12	det
12	lágrimas	NOUN	10	obj
13	sinceras	ADJ	12	amod
14	por	ADP	16	case
15	su	DET	16	det
16	esposo	NOUN	10	obl
17	muerto	ADJ	16	amod
18	,	PUNCT	3	punct
19	en	ADP	22	mark
20	vez	NOUN	19	fixed
21	de	ADP	19	fixed
22	asistir	VERB	27	advcl
23	a	ADP	25	case
24	los	DET	25	det
25	tablaos	NOUN	22	obl
26	,	PUNCT	22	punct
27	iba	VERB	0	root
28	a	ADP	30	case
29	las	DET	30	det
30	tertulias	NOUN	27	obl
31	de	ADP	32	case
32	intelectuales	NOUN	30	nmod
33	.	PUNCT	27	punct