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:
The story had brillant battle scenes, lovable heroes and villians, a compelling story line, and it left me dying for the next part of the series:) go to taleofterra.com to learn more aboout it
Postion	Tokenization
1	The
2	story
3	had
4	brillant
5	battle
6	scenes
7	,
8	lovable
9	heroes
10	and
11	villians
12	,
13	a
14	compelling
15	story
16	line
17	,
18	and
19	it
20	left
21	me
22	dying
23	for
24	the
25	next
26	part
27	of
28	the
29	series
30	:)
31	go
32	to
33	taleofterra.com
34	to
35	learn
36	more
37	aboout
38	it
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	story	NOUN	3	nsubj
3	had	VERB	0	root
4	brillant	ADJ	6	amod
5	battle	NOUN	6	compound
6	scenes	NOUN	3	obj
7	,	PUNCT	9	punct
8	lovable	ADJ	9	amod
9	heroes	NOUN	6	conj
10	and	CCONJ	11	cc
11	villians	NOUN	9	conj
12	,	PUNCT	16	punct
13	a	DET	16	det
14	compelling	ADJ	16	amod
15	story	NOUN	16	compound
16	line	NOUN	6	conj
17	,	PUNCT	20	punct
18	and	CCONJ	20	cc
19	it	PRON	20	nsubj
20	left	VERB	3	conj
21	me	PRON	20	obj
22	dying	ADJ	20	xcomp
23	for	ADP	26	case
24	the	DET	26	det
25	next	ADJ	26	amod
26	part	NOUN	22	obl
27	of	ADP	29	case
28	the	DET	29	det
29	series	NOUN	26	nmod
30	:)	SYM	3	discourse
31	go	VERB	3	parataxis
32	to	ADP	31	obl
33	taleofterra.com	X	32	advcl
34	to	PART	35	mark
35	learn	VERB	31	advcl
36	more	ADJ	35	obj
37	aboout	ADP	38	case
38	it	PRON	36	obl