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:
Una imitación de estas características es la que debió causar la gran epidemia gripal el año 1918, durante la cual murieron más de veinte millones de personas.
Postion	Tokenization
1	Una
2	imitación
3	de
4	estas
5	características
6	es
7	la
8	que
9	debió
10	causar
11	la
12	gran
13	epidemia
14	gripal
15	el
16	año
17	1918
18	,
19	durante
20	la
21	cual
22	murieron
23	más
24	de
25	veinte
26	millones
27	de
28	personas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	2	det
2	imitación	NOUN	6	nsubj
3	de	ADP	5	case
4	estas	DET	5	det
5	características	NOUN	2	nmod
6	es	AUX	0	root
7	la	DET	10	det
8	que	PRON	10	nsubj
9	debió	AUX	10	aux
10	causar	VERB	6	ccomp
11	la	DET	13	det
12	gran	ADJ	13	amod
13	epidemia	NOUN	10	obj
14	gripal	ADJ	13	amod
15	el	DET	16	det
16	año	NOUN	13	appos
17	1918	NUM	16	compound
18	,	PUNCT	22	punct
19	durante	ADP	21	case
20	la	DET	21	det
21	cual	PRON	22	obl
22	murieron	VERB	13	acl
23	más	ADV	26	advmod
24	de	ADP	23	fixed
25	veinte	NUM	23	nummod
26	millones	NOUN	22	nsubj
27	de	ADP	28	case
28	personas	NOUN	26	nmod
29	.	PUNCT	6	punct