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:
Rabadán mató a sus padres y su hermana, que padecía el síndrome de Down, en la madrugada del 1 de abril del 2000, mientras dormían en su domicilio.
Postion	Tokenization
1	Rabadán
2	mató
3	a
4	sus
5	padres
6	y
7	su
8	hermana
9	,
10	que
11	padecía
12	el
13	síndrome
14	de
15	Down
16	,
17	en
18	la
19	madrugada
20	del
21	1
22	de
23	abril
24	del
25	2000
26	,
27	mientras
28	dormían
29	en
30	su
31	domicilio
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Rabadán	PROPN	2	nsubj
2	mató	VERB	0	root
3	a	ADP	5	case
4	sus	DET	5	det
5	padres	NOUN	2	obj
6	y	CCONJ	8	cc
7	su	DET	8	det
8	hermana	NOUN	5	conj
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	padecía	VERB	8	acl
12	el	DET	13	det
13	síndrome	NOUN	11	obj
14	de	ADP	15	case
15	Down	NOUN	13	compound
16	,	PUNCT	11	punct
17	en	ADP	19	case
18	la	DET	19	det
19	madrugada	NOUN	2	obl
20	del	ADP	21	case
21	1	NUM	19	nmod
22	de	ADP	23	case
23	abril	NOUN	21	compound
24	del	ADP	25	case
25	2000	NUM	21	compound
26	,	PUNCT	28	punct
27	mientras	SCONJ	28	mark
28	dormían	VERB	2	advcl
29	en	ADP	31	case
30	su	DET	31	det
31	domicilio	NOUN	28	obl
32	.	PUNCT	2	punct