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:
Beatriz se consideraba escritora, y publicó una novela corta, Suma (1975), pero ella misma terminó declarándose editora a secas.
Postion	Tokenization
1	Beatriz
2	se
3	consideraba
4	escritora
5	,
6	y
7	publicó
8	una
9	novela
10	corta
11	,
12	Suma
13	(
14	1975
15	)
16	,
17	pero
18	ella
19	misma
20	terminó
21	declarándose
22	declarando
23	se
24	editora
25	a
26	secas
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Beatriz	PROPN	3	nsubj
2	se	PRON	3	obj
3	consideraba	VERB	0	root
4	escritora	NOUN	3	obj
5	,	PUNCT	7	punct
6	y	CCONJ	7	cc
7	publicó	VERB	3	conj
8	una	DET	9	det
9	novela	NOUN	7	obj
10	corta	ADJ	9	amod
11	,	PUNCT	12	punct
12	Suma	PROPN	9	appos
13	(	PUNCT	14	punct
14	1975	NOUN	12	appos
15	)	PUNCT	14	punct
16	,	PUNCT	12	punct
17	pero	CCONJ	20	cc
18	ella	PRON	20	nsubj
19	misma	DET	18	det
20	terminó	VERB	3	conj
21	declarándose	_	None	_
22	declarando	VERB	20	xcomp
23	se	PRON	21	iobj
24	editora	NOUN	20	obl
25	a	ADP	23	advmod
26	secas	NOUN	24	fixed
27	.	PUNCT	3	punct