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:
EDIT: I love how she says it's not callum but doesn't deny it's me....i think we all know who she's talking about...
Postion	Tokenization
1	EDIT
2	:
3	I
4	love
5	how
6	she
7	says
8	it's
9	it
10	's
11	not
12	callum
13	but
14	doesn't
15	does
16	n't
17	deny
18	it's
19	it
20	's
21	me
22	....
23	i
24	think
25	we
26	all
27	know
28	who
29	she's
30	she
31	's
32	talking
33	about
34	...
Position	Tokenization	UPOS	Head	Deprel
1	EDIT	NOUN	0	root
2	:	PUNCT	1	punct
3	I	PRON	4	nsubj
4	love	VERB	1	appos
5	how	SCONJ	7	mark
6	she	PRON	7	nsubj
7	says	VERB	4	ccomp
8	it's	_	None	_
9	it	PRON	11	nsubj
10	's	AUX	11	cop
11	not	PART	11	advmod
12	callum	PROPN	7	ccomp
13	but	CCONJ	15	cc
14	doesn't	_	None	_
15	does	AUX	15	aux
16	n't	PART	15	advmod
17	deny	VERB	7	conj
18	it's	_	None	_
19	it	PRON	18	nsubj
20	's	AUX	18	cop
21	me	PRON	15	ccomp
22	....	PUNCT	4	punct
23	i	PRON	21	nsubj
24	think	VERB	4	parataxis
25	we	PRON	24	nsubj
26	all	DET	22	det
27	know	VERB	21	ccomp
28	who	PRON	28	obl
29	she's	_	None	_
30	she	PRON	28	nsubj
31	's	AUX	28	aux
32	talking	VERB	24	ccomp
33	about	ADP	25	case
34	...	PUNCT	1	punct