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:
La viudez la había amargado hasta el punto de no creerse que fuera la misma, y la había vuelto fofa y agria, y enemiga del mundo.
Postion	Tokenization
1	La
2	viudez
3	la
4	había
5	amargado
6	hasta
7	el
8	punto
9	de
10	no
11	creerse
12	creer
13	se
14	que
15	fuera
16	la
17	misma
18	,
19	y
20	la
21	había
22	vuelto
23	fofa
24	y
25	agria
26	,
27	y
28	enemiga
29	del
30	mundo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	viudez	NOUN	5	nsubj
3	la	PRON	5	obj
4	había	AUX	5	aux
5	amargado	VERB	0	root
6	hasta	ADP	8	case
7	el	DET	8	det
8	punto	NOUN	5	obl
9	de	ADP	11	mark
10	no	ADV	11	advmod
11	creerse	_	None	_
12	creer	VERB	8	acl
13	se	PRON	11	expl:pass
14	que	SCONJ	16	mark
15	fuera	AUX	16	cop
16	la	DET	16	det
17	misma	PRON	11	ccomp
18	,	PUNCT	21	punct
19	y	CCONJ	21	cc
20	la	PRON	21	obj
21	había	AUX	21	aux
22	vuelto	VERB	5	conj
23	fofa	ADJ	21	iobj
24	y	CCONJ	24	cc
25	agria	ADJ	22	conj
26	,	PUNCT	27	punct
27	y	CCONJ	27	cc
28	enemiga	ADJ	22	conj
29	del	ADP	29	case
30	mundo	NOUN	27	nmod
31	.	PUNCT	5	punct