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:
Además, estas dos naciones tienen una larga historia de relaciones, desde que, hace 150 años, se produjera la primera migración china al Perú.
Postion	Tokenization
1	Además
2	,
3	estas
4	dos
5	naciones
6	tienen
7	una
8	larga
9	historia
10	de
11	relaciones
12	,
13	desde
14	que
15	,
16	hace
17	150
18	años
19	,
20	se
21	produjera
22	la
23	primera
24	migración
25	china
26	al
27	Perú
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	6	advmod
2	,	PUNCT	1	punct
3	estas	DET	5	det
4	dos	NUM	3	nummod
5	naciones	NOUN	6	nsubj
6	tienen	VERB	0	root
7	una	DET	9	det
8	larga	ADJ	9	amod
9	historia	NOUN	6	obj
10	de	ADP	11	case
11	relaciones	NOUN	9	nmod
12	,	PUNCT	21	punct
13	desde	ADP	21	mark
14	que	SCONJ	21	mark
15	,	PUNCT	16	punct
16	hace	VERB	21	advcl
17	150	NUM	18	nummod
18	años	NOUN	16	obj
19	,	PUNCT	18	punct
20	se	PRON	21	expl:pv
21	produjera	VERB	6	advcl
22	la	DET	24	det
23	primera	ADJ	24	amod
24	migración	NOUN	21	nsubj
25	china	ADJ	24	amod
26	al	ADP	27	case
27	Perú	PROPN	24	nmod
28	.	PUNCT	6	punct