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 petición contra "Olga", sobre la que el Tribunal parisiense dictará sentencia el próximo 15 de marzo, la Audiencia Nacional reclama su extradición por "asesinato terrorista, 24 intentos de asesinato terrorista, destrozos y falsificación de matrículas".
Postion	Tokenization
1	En
2	su
3	petición
4	contra
5	"
6	Olga
7	"
8	,
9	sobre
10	la
11	que
12	el
13	Tribunal
14	parisiense
15	dictará
16	sentencia
17	el
18	próximo
19	15
20	de
21	marzo
22	,
23	la
24	Audiencia
25	Nacional
26	reclama
27	su
28	extradición
29	por
30	"
31	asesinato
32	terrorista
33	,
34	24
35	intentos
36	de
37	asesinato
38	terrorista
39	,
40	destrozos
41	y
42	falsificación
43	de
44	matrículas
45	"
46	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	su	DET	3	det
3	petición	NOUN	26	obl
4	contra	ADP	6	case
5	"	PUNCT	6	punct
6	Olga	PROPN	3	nmod
7	"	PUNCT	6	punct
8	,	PUNCT	15	punct
9	sobre	ADP	11	case
10	la	DET	11	det
11	que	PRON	15	obl
12	el	DET	13	det
13	Tribunal	PROPN	15	nsubj
14	parisiense	ADJ	13	amod
15	dictará	VERB	6	acl
16	sentencia	NOUN	15	obj
17	el	DET	19	det
18	próximo	ADJ	19	amod
19	15	NUM	15	obl
20	de	ADP	21	case
21	marzo	NOUN	19	compound
22	,	PUNCT	3	punct
23	la	DET	24	det
24	Audiencia	PROPN	26	nsubj
25	Nacional	PROPN	24	flat
26	reclama	VERB	0	root
27	su	DET	28	det
28	extradición	NOUN	26	obj
29	por	ADP	31	case
30	"	PUNCT	31	punct
31	asesinato	NOUN	26	obl
32	terrorista	ADJ	31	amod
33	,	PUNCT	35	punct
34	24	NUM	35	nummod
35	intentos	NOUN	31	appos
36	de	ADP	37	case
37	asesinato	NOUN	35	nmod
38	terrorista	ADJ	37	amod
39	,	PUNCT	40	punct
40	destrozos	NOUN	31	appos
41	y	CCONJ	42	cc
42	falsificación	NOUN	31	conj
43	de	ADP	44	case
44	matrículas	NOUN	42	nmod
45	"	PUNCT	31	punct
46	.	PUNCT	26	punct