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:
Ese mismo día, Le Vert también leyó a "Kantauri" las preguntas que el juez español Baltasar Garzón le había remitido sobre los sumarios que investiga, entre ellos, el intento de atentado contra el rey Juan Carlos en Palma de Mallorca en 1995.
Postion	Tokenization
1	Ese
2	mismo
3	día
4	,
5	Le
6	Vert
7	también
8	leyó
9	a
10	"
11	Kantauri
12	"
13	las
14	preguntas
15	que
16	el
17	juez
18	español
19	Baltasar
20	Garzón
21	le
22	había
23	remitido
24	sobre
25	los
26	sumarios
27	que
28	investiga
29	,
30	entre
31	ellos
32	,
33	el
34	intento
35	de
36	atentado
37	contra
38	el
39	rey
40	Juan
41	Carlos
42	en
43	Palma
44	de
45	Mallorca
46	en
47	1995
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Ese	DET	3	det
2	mismo	DET	1	det
3	día	NOUN	8	obl
4	,	PUNCT	3	punct
5	Le	PRON	8	nsubj
6	Vert	PROPN	5	flat
7	también	ADV	8	advmod
8	leyó	VERB	0	root
9	a	ADP	11	case
10	"	PUNCT	11	punct
11	Kantauri	PROPN	8	obj
12	"	PUNCT	11	punct
13	las	DET	14	det
14	preguntas	NOUN	8	obj
15	que	PRON	23	obj
16	el	DET	17	det
17	juez	NOUN	23	nsubj
18	español	ADJ	17	amod
19	Baltasar	PROPN	17	appos
20	Garzón	PROPN	19	flat
21	le	PRON	23	obj
22	había	AUX	23	aux
23	remitido	VERB	14	acl
24	sobre	ADP	26	case
25	los	DET	26	det
26	sumarios	NOUN	23	obl
27	que	PRON	28	obj
28	investiga	VERB	26	acl
29	,	PUNCT	31	punct
30	entre	ADP	31	case
31	ellos	PRON	34	nmod
32	,	PUNCT	31	punct
33	el	DET	34	det
34	intento	NOUN	26	appos
35	de	ADP	36	case
36	atentado	NOUN	34	nmod
37	contra	ADP	39	case
38	el	DET	39	det
39	rey	NOUN	36	nmod
40	Juan	PROPN	39	appos
41	Carlos	PROPN	40	flat
42	en	ADP	43	case
43	Palma	PROPN	34	nmod
44	de	ADP	45	case
45	Mallorca	PROPN	43	flat
46	en	ADP	47	case
47	1995	NOUN	34	nmod
48	.	PUNCT	8	punct