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:
Sevilla dijo que "el presidente del Ecuador, el doctor Gustavo Noboa Bejarano estará la próxima semana aquí en Lima para participar en la reunión de la Comunidad Andina".
Postion	Tokenization
1	Sevilla
2	dijo
3	que
4	"
5	el
6	presidente
7	del
8	Ecuador
9	,
10	el
11	doctor
12	Gustavo
13	Noboa
14	Bejarano
15	estará
16	la
17	próxima
18	semana
19	aquí
20	en
21	Lima
22	para
23	participar
24	en
25	la
26	reunión
27	de
28	la
29	Comunidad
30	Andina
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Sevilla	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	15	mark
4	"	PUNCT	15	punct
5	el	DET	6	det
6	presidente	NOUN	15	nsubj
7	del	ADP	8	case
8	Ecuador	PROPN	6	nmod
9	,	PUNCT	11	punct
10	el	DET	11	det
11	doctor	NOUN	6	appos
12	Gustavo	PROPN	11	appos
13	Noboa	PROPN	12	flat
14	Bejarano	PROPN	12	flat
15	estará	VERB	2	ccomp
16	la	DET	18	det
17	próxima	ADJ	18	amod
18	semana	NOUN	15	obl
19	aquí	ADV	15	obj
20	en	ADP	21	case
21	Lima	PROPN	19	obl
22	para	ADP	23	mark
23	participar	VERB	15	advcl
24	en	ADP	26	case
25	la	DET	26	det
26	reunión	NOUN	23	obj
27	de	ADP	29	case
28	la	DET	29	det
29	Comunidad	PROPN	26	nmod
30	Andina	PROPN	29	flat
31	"	PUNCT	15	punct
32	.	PUNCT	2	punct