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:
Por otra parte, el magistrado Baltasar Garzón ha declarado "nulo" el auto de la juez María Teresa Palacios que permitió el registro de la sede de HB de la calle de Urbieta de San Sebastián, realizado en marzo, por lo que todos los documentos incautados deberán ser devueltos.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	el
6	magistrado
7	Baltasar
8	Garzón
9	ha
10	declarado
11	"
12	nulo
13	"
14	el
15	auto
16	de
17	la
18	juez
19	María
20	Teresa
21	Palacios
22	que
23	permitió
24	el
25	registro
26	de
27	la
28	sede
29	de
30	HB
31	de
32	la
33	calle
34	de
35	Urbieta
36	de
37	San
38	Sebastián
39	,
40	realizado
41	en
42	marzo
43	,
44	por
45	lo
46	que
47	todos
48	los
49	documentos
50	incautados
51	deberán
52	ser
53	devueltos
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	10	advmod
2	otra	NOUN	1	fixed
3	parte	NOUN	1	fixed
4	,	PUNCT	1	punct
5	el	DET	6	det
6	magistrado	NOUN	10	nsubj
7	Baltasar	PROPN	6	appos
8	Garzón	PROPN	7	flat
9	ha	AUX	10	aux
10	declarado	VERB	0	root
11	"	PUNCT	12	punct
12	nulo	ADJ	10	obj
13	"	PUNCT	12	punct
14	el	DET	15	det
15	auto	NOUN	10	obj
16	de	ADP	18	case
17	la	DET	18	det
18	juez	NOUN	15	nmod
19	María	PROPN	18	appos
20	Teresa	PROPN	19	flat
21	Palacios	PROPN	19	flat
22	que	PRON	23	nsubj
23	permitió	VERB	15	acl
24	el	DET	25	det
25	registro	NOUN	23	obj
26	de	ADP	28	case
27	la	DET	28	det
28	sede	NOUN	25	nmod
29	de	ADP	30	case
30	HB	PROPN	28	nmod
31	de	ADP	33	case
32	la	DET	33	det
33	calle	NOUN	28	nmod
34	de	ADP	35	case
35	Urbieta	PROPN	33	nmod
36	de	ADP	37	case
37	San	PROPN	33	nmod
38	Sebastián	PROPN	37	flat
39	,	PUNCT	40	punct
40	realizado	ADJ	25	amod
41	en	ADP	42	case
42	marzo	NOUN	40	obl
43	,	PUNCT	45	punct
44	por	ADP	45	mark
45	lo	PRON	23	obl
46	que	SCONJ	53	mark
47	todos	DET	49	det
48	los	DET	49	det
49	documentos	NOUN	53	nsubj:pass
50	incautados	ADJ	49	amod
51	deberán	AUX	53	aux
52	ser	AUX	53	aux:pass
53	devueltos	VERB	45	acl
54	.	PUNCT	10	punct