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:
El mundo le ha dicho: señor Fujimori sea mucho más caballero y compita en una elección limpia ", dijo al aludir a la reacción de la comunidad internacional que ha cuestionado las elecciones celebradas el domingo.
Postion	Tokenization
1	El
2	mundo
3	le
4	ha
5	dicho
6	:
7	señor
8	Fujimori
9	sea
10	mucho
11	más
12	caballero
13	y
14	compita
15	en
16	una
17	elección
18	limpia
19	"
20	,
21	dijo
22	al
23	aludir
24	a
25	la
26	reacción
27	de
28	la
29	comunidad
30	internacional
31	que
32	ha
33	cuestionado
34	las
35	elecciones
36	celebradas
37	el
38	domingo
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	mundo	NOUN	5	nsubj
3	le	PRON	5	iobj
4	ha	AUX	5	aux
5	dicho	VERB	21	ccomp
6	:	PUNCT	12	punct
7	señor	NOUN	12	nsubj
8	Fujimori	PROPN	7	appos
9	sea	AUX	12	cop
10	mucho	ADV	12	advmod
11	más	ADV	10	advmod
12	caballero	ADJ	5	ccomp
13	y	CCONJ	14	cc
14	compita	VERB	12	conj
15	en	ADP	17	case
16	una	DET	17	det
17	elección	NOUN	14	obl
18	limpia	ADJ	17	amod
19	"	PUNCT	12	punct
20	,	PUNCT	5	punct
21	dijo	VERB	0	root
22	al	ADP	23	mark
23	aludir	VERB	21	advcl
24	a	ADP	26	case
25	la	DET	26	det
26	reacción	NOUN	23	obj
27	de	ADP	29	case
28	la	DET	29	det
29	comunidad	NOUN	26	nmod
30	internacional	ADJ	29	amod
31	que	PRON	33	nsubj
32	ha	AUX	33	aux
33	cuestionado	VERB	29	acl
34	las	DET	35	det
35	elecciones	NOUN	33	obj
36	celebradas	ADJ	35	amod
37	el	DET	38	det
38	domingo	NOUN	36	obl
39	.	PUNCT	21	punct