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 presidenta del Senado, Esperanza Aguirre, representará a España en los funerales por el ex primer ministro japonés Keizo Obuchi, que falleció el 14 de mayo víctima de un derrame cerebral, informó hoy la embajada española en Tokio.
Postion	Tokenization
1	La
2	presidenta
3	del
4	Senado
5	,
6	Esperanza
7	Aguirre
8	,
9	representará
10	a
11	España
12	en
13	los
14	funerales
15	por
16	el
17	ex
18	primer
19	ministro
20	japonés
21	Keizo
22	Obuchi
23	,
24	que
25	falleció
26	el
27	14
28	de
29	mayo
30	víctima
31	de
32	un
33	derrame
34	cerebral
35	,
36	informó
37	hoy
38	la
39	embajada
40	española
41	en
42	Tokio
43	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	presidenta	NOUN	9	nsubj
3	del	ADP	4	case
4	Senado	PROPN	2	nmod
5	,	PUNCT	6	punct
6	Esperanza	PROPN	2	appos
7	Aguirre	PROPN	6	flat
8	,	PUNCT	6	punct
9	representará	VERB	36	ccomp
10	a	ADP	11	case
11	España	PROPN	9	obj
12	en	ADP	14	case
13	los	DET	14	det
14	funerales	NOUN	9	obl
15	por	ADP	19	case
16	el	DET	19	det
17	ex	ADJ	19	amod
18	primer	ADJ	19	amod
19	ministro	NOUN	14	nmod
20	japonés	ADJ	19	amod
21	Keizo	PROPN	19	appos
22	Obuchi	PROPN	21	flat
23	,	PUNCT	25	punct
24	que	PRON	25	nsubj
25	falleció	VERB	19	acl
26	el	DET	27	det
27	14	NUM	25	obl
28	de	ADP	29	case
29	mayo	NOUN	27	compound
30	víctima	NOUN	25	obl
31	de	ADP	33	case
32	un	DET	33	det
33	derrame	NOUN	30	nmod
34	cerebral	ADJ	33	amod
35	,	PUNCT	25	punct
36	informó	VERB	0	root
37	hoy	ADV	36	advmod
38	la	DET	39	det
39	embajada	NOUN	36	nsubj
40	española	ADJ	39	amod
41	en	ADP	42	case
42	Tokio	PROPN	39	nmod
43	.	PUNCT	36	punct