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:
I should let you know though that she was very offended this morning that you didn't spell her name right in the email - I mean it's such a common spelling.
Postion	Tokenization
1	I
2	should
3	let
4	you
5	know
6	though
7	that
8	she
9	was
10	very
11	offended
12	this
13	morning
14	that
15	you
16	didn't
17	did
18	n't
19	spell
20	her
21	name
22	right
23	in
24	the
25	email
26	-
27	I
28	mean
29	it's
30	it
31	's
32	such
33	a
34	common
35	spelling
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	should	AUX	3	aux
3	let	VERB	0	root
4	you	PRON	3	obj
5	know	VERB	3	xcomp
6	though	ADV	5	advmod
7	that	SCONJ	11	mark
8	she	PRON	11	nsubj
9	was	AUX	11	cop
10	very	ADV	11	advmod
11	offended	ADJ	5	ccomp
12	this	DET	13	det
13	morning	NOUN	11	obl:tmod
14	that	SCONJ	18	mark
15	you	PRON	18	nsubj
16	didn't	_	None	_
17	did	AUX	18	aux
18	n't	PART	18	advmod
19	spell	VERB	11	advcl
20	her	PRON	20	nmod:poss
21	name	NOUN	18	obj
22	right	ADJ	18	advmod
23	in	ADP	24	case
24	the	DET	24	det
25	email	NOUN	18	obl
26	-	PUNCT	3	punct
27	I	PRON	27	nsubj
28	mean	VERB	3	parataxis
29	it's	_	None	_
30	it	PRON	33	nsubj
31	's	AUX	33	cop
32	such	DET	33	det:predet
33	a	DET	33	det
34	common	ADJ	33	amod
35	spelling	NOUN	27	ccomp
36	.	PUNCT	3	punct