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:
Agregó que pidió ayuda a campesinos de la región, que le orientaron para regresar a Buenaventura, el primer puerto de Colombia en el Pacífico y donde él reside.
Postion	Tokenization
1	Agregó
2	que
3	pidió
4	ayuda
5	a
6	campesinos
7	de
8	la
9	región
10	,
11	que
12	le
13	orientaron
14	para
15	regresar
16	a
17	Buenaventura
18	,
19	el
20	primer
21	puerto
22	de
23	Colombia
24	en
25	el
26	Pacífico
27	y
28	donde
29	él
30	reside
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Agregó	VERB	0	root
2	que	SCONJ	3	mark
3	pidió	VERB	1	ccomp
4	ayuda	NOUN	3	obj
5	a	ADP	6	case
6	campesinos	NOUN	3	obj
7	de	ADP	9	case
8	la	DET	9	det
9	región	NOUN	6	nmod
10	,	PUNCT	13	punct
11	que	PRON	13	nsubj
12	le	PRON	13	obj
13	orientaron	VERB	6	acl
14	para	ADP	15	mark
15	regresar	VERB	13	advcl
16	a	ADP	17	case
17	Buenaventura	PROPN	15	obl
18	,	PUNCT	21	punct
19	el	DET	21	det
20	primer	ADJ	21	amod
21	puerto	NOUN	17	nmod
22	de	ADP	23	case
23	Colombia	PROPN	21	nmod
24	en	ADP	26	case
25	el	DET	26	det
26	Pacífico	PROPN	21	nmod
27	y	CCONJ	30	cc
28	donde	PRON	30	obl
29	él	PRON	30	nsubj
30	reside	VERB	21	conj
31	.	PUNCT	1	punct