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:
Según los investigadores, los autores desconocían que se trataba de una vivienda del president, por lo que descartan otra motivación no relacionada con la delincuencia habitual.
Postion	Tokenization
1	Según
2	los
3	investigadores
4	,
5	los
6	autores
7	desconocían
8	que
9	se
10	trataba
11	de
12	una
13	vivienda
14	del
15	president
16	,
17	por
18	lo
19	que
20	descartan
21	otra
22	motivación
23	no
24	relacionada
25	con
26	la
27	delincuencia
28	habitual
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	los	DET	3	det
3	investigadores	NOUN	7	obl
4	,	PUNCT	3	punct
5	los	DET	6	det
6	autores	NOUN	7	nsubj
7	desconocían	VERB	0	root
8	que	SCONJ	10	mark
9	se	PRON	10	expl:impers
10	trataba	VERB	7	ccomp
11	de	ADP	13	case
12	una	DET	13	det
13	vivienda	NOUN	10	obj
14	del	ADP	15	case
15	president	NOUN	13	nmod
16	,	PUNCT	20	punct
17	por	ADP	20	mark
18	lo	PRON	20	det
19	que	PRON	20	obl
20	descartan	VERB	7	advcl
21	otra	DET	22	det
22	motivación	NOUN	20	obj
23	no	ADV	24	advmod
24	relacionada	ADJ	22	amod
25	con	ADP	27	case
26	la	DET	27	det
27	delincuencia	NOUN	24	obj
28	habitual	ADJ	27	amod
29	.	PUNCT	7	punct