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 defensa explicó que la acusación, que inicialmente pedía tres penas de ocho años de internamiento por otros tantos delitos de asesinato, rebajó la petición a la vista de los informes psicológicos y psiquiátricos.
Postion	Tokenization
1	La
2	defensa
3	explicó
4	que
5	la
6	acusación
7	,
8	que
9	inicialmente
10	pedía
11	tres
12	penas
13	de
14	ocho
15	años
16	de
17	internamiento
18	por
19	otros
20	tantos
21	delitos
22	de
23	asesinato
24	,
25	rebajó
26	la
27	petición
28	a
29	la
30	vista
31	de
32	los
33	informes
34	psicológicos
35	y
36	psiquiátricos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	defensa	NOUN	3	nsubj
3	explicó	VERB	0	root
4	que	SCONJ	25	mark
5	la	DET	6	det
6	acusación	NOUN	25	nsubj
7	,	PUNCT	10	punct
8	que	PRON	10	nsubj
9	inicialmente	ADV	10	advmod
10	pedía	VERB	6	acl
11	tres	NUM	12	nummod
12	penas	NOUN	10	obj
13	de	ADP	15	case
14	ocho	NUM	15	nummod
15	años	NOUN	12	nmod
16	de	ADP	17	case
17	internamiento	NOUN	15	nmod
18	por	ADP	21	case
19	otros	DET	21	det
20	tantos	DET	19	det
21	delitos	NOUN	10	obl
22	de	ADP	23	case
23	asesinato	NOUN	21	nmod
24	,	PUNCT	10	punct
25	rebajó	VERB	3	ccomp
26	la	DET	27	det
27	petición	NOUN	25	obj
28	a	ADP	30	case
29	la	DET	30	det
30	vista	NOUN	25	obl
31	de	ADP	33	case
32	los	DET	33	det
33	informes	NOUN	30	nmod
34	psicológicos	ADJ	33	amod
35	y	CCONJ	36	cc
36	psiquiátricos	ADJ	34	conj
37	.	PUNCT	3	punct