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:
En su justificación, el magistrado de la Audiencia Nacional señala que el auto de Palacios no especifica ni el delito que perseguía ni los indicios que motivaron la intervención policial.
Postion	Tokenization
1	En
2	su
3	justificación
4	,
5	el
6	magistrado
7	de
8	la
9	Audiencia
10	Nacional
11	señala
12	que
13	el
14	auto
15	de
16	Palacios
17	no
18	especifica
19	ni
20	el
21	delito
22	que
23	perseguía
24	ni
25	los
26	indicios
27	que
28	motivaron
29	la
30	intervención
31	policial
32	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	justificación	NOUN	11	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	magistrado	NOUN	11	nsubj
7	de	ADP	9	case
8	la	DET	9	det
9	Audiencia	PROPN	6	nmod
10	Nacional	PROPN	9	flat
11	señala	VERB	0	root
12	que	SCONJ	18	mark
13	el	DET	14	det
14	auto	NOUN	18	nsubj
15	de	ADP	16	case
16	Palacios	PROPN	14	nmod
17	no	ADV	18	advmod
18	especifica	VERB	11	ccomp
19	ni	CCONJ	21	cc
20	el	DET	21	det
21	delito	NOUN	18	obj
22	que	PRON	23	obj
23	perseguía	VERB	21	acl
24	ni	CCONJ	26	cc
25	los	DET	26	det
26	indicios	NOUN	21	conj
27	que	PRON	28	nsubj
28	motivaron	VERB	26	acl
29	la	DET	30	det
30	intervención	NOUN	28	obj
31	policial	ADJ	30	amod
32	.	PUNCT	11	punct