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:
Según el poeta, "la persona que busco nació en Uruguay, vive en Uruguay y es muy querida por sus padres adoptivos".
Postion	Tokenization
1	Según
2	el
3	poeta
4	,
5	"
6	la
7	persona
8	que
9	busco
10	nació
11	en
12	Uruguay
13	,
14	vive
15	en
16	Uruguay
17	y
18	es
19	muy
20	querida
21	por
22	sus
23	padres
24	adoptivos
25	"
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	el	DET	3	det
3	poeta	NOUN	10	obl
4	,	PUNCT	3	punct
5	"	PUNCT	10	punct
6	la	DET	7	det
7	persona	NOUN	10	nsubj
8	que	PRON	9	obj
9	busco	VERB	7	acl
10	nació	VERB	0	root
11	en	ADP	12	case
12	Uruguay	PROPN	10	obl
13	,	PUNCT	14	punct
14	vive	VERB	10	advcl
15	en	ADP	16	case
16	Uruguay	PROPN	14	obl
17	y	CCONJ	20	cc
18	es	AUX	20	cop
19	muy	ADV	20	advmod
20	querida	ADJ	10	conj
21	por	ADP	23	case
22	sus	DET	23	det
23	padres	NOUN	20	obj
24	adoptivos	ADJ	23	amod
25	"	PUNCT	10	punct
26	.	PUNCT	10	punct