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 vivienda presentaba rastros de sangre, como si el autor o los autores hubieran trasladado los cadáveres de un lugar a otro de la casa.
Postion	Tokenization
1	La
2	vivienda
3	presentaba
4	rastros
5	de
6	sangre
7	,
8	como
9	si
10	el
11	autor
12	o
13	los
14	autores
15	hubieran
16	trasladado
17	los
18	cadáveres
19	de
20	un
21	lugar
22	a
23	otro
24	de
25	la
26	casa
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	vivienda	NOUN	3	nsubj
3	presentaba	VERB	0	root
4	rastros	NOUN	3	obj
5	de	ADP	6	case
6	sangre	NOUN	4	nmod
7	,	PUNCT	16	punct
8	como	SCONJ	16	mark
9	si	SCONJ	16	mark
10	el	DET	11	det
11	autor	NOUN	16	nsubj
12	o	CCONJ	14	cc
13	los	DET	14	det
14	autores	NOUN	11	conj
15	hubieran	AUX	16	aux
16	trasladado	VERB	3	advcl
17	los	DET	18	det
18	cadáveres	NOUN	16	obj
19	de	ADP	21	case
20	un	DET	21	det
21	lugar	NOUN	16	obl
22	a	ADP	23	case
23	otro	PRON	16	obl
24	de	ADP	26	case
25	la	DET	26	det
26	casa	NOUN	16	obj
27	.	PUNCT	3	punct