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:
Ayer se oyó mucho en el país eso de "por consiguiente", que quiere decir, según sus orígenes latinos, "yo sigo".
Postion	Tokenization
1	Ayer
2	se
3	oyó
4	mucho
5	en
6	el
7	país
8	eso
9	de
10	"
11	por
12	consiguiente
13	"
14	,
15	que
16	quiere
17	decir
18	,
19	según
20	sus
21	orígenes
22	latinos
23	,
24	"
25	yo
26	sigo
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Ayer	ADV	3	advmod
2	se	PRON	3	expl:pass
3	oyó	VERB	0	root
4	mucho	ADV	3	advmod
5	en	ADP	7	case
6	el	DET	7	det
7	país	NOUN	3	obl
8	eso	PRON	3	nsubj
9	de	ADP	12	case
10	"	PUNCT	12	punct
11	por	ADP	12	case
12	consiguiente	ADJ	8	nmod
13	"	PUNCT	12	punct
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	quiere	VERB	3	conj
17	decir	VERB	16	xcomp
18	,	PUNCT	21	punct
19	según	ADP	21	case
20	sus	DET	21	det
21	orígenes	NOUN	17	obl
22	latinos	ADJ	21	amod
23	,	PUNCT	21	punct
24	"	PUNCT	26	punct
25	yo	PRON	26	nsubj
26	sigo	VERB	17	ccomp
27	"	PUNCT	26	punct
28	.	PUNCT	3	punct