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 expresó que en Lima estarán los cinco mandatarios andinos conversando sobre el proceso de integración que impulsan sus países desde hace más de 30 años.
Postion	Tokenization
1	Sevilla
2	expresó
3	que
4	en
5	Lima
6	estarán
7	los
8	cinco
9	mandatarios
10	andinos
11	conversando
12	sobre
13	el
14	proceso
15	de
16	integración
17	que
18	impulsan
19	sus
20	países
21	desde
22	hace
23	más
24	de
25	30
26	años
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Sevilla	PROPN	2	nsubj
2	expresó	VERB	0	root
3	que	SCONJ	6	mark
4	en	ADP	5	case
5	Lima	PROPN	6	obj
6	estarán	VERB	2	ccomp
7	los	DET	9	det
8	cinco	NUM	7	nummod
9	mandatarios	NOUN	6	nsubj
10	andinos	ADJ	9	amod
11	conversando	VERB	6	advcl
12	sobre	ADP	14	case
13	el	DET	14	det
14	proceso	NOUN	11	obj
15	de	ADP	16	case
16	integración	NOUN	14	nmod
17	que	PRON	18	nsubj
18	impulsan	VERB	14	acl
19	sus	DET	20	det
20	países	NOUN	18	obj
21	desde	ADP	22	mark
22	hace	VERB	18	advcl
23	más	ADV	26	advmod
24	de	ADP	26	case
25	30	NUM	26	nummod
26	años	NOUN	22	obj
27	.	PUNCT	2	punct