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 owner was VERY rude, accused me of not reading my contract, and basically told me to shut up when I was trying to ask questions to further understand the process of canceling my membership.
Postion	Tokenization
1	The
2	owner
3	was
4	VERY
5	rude
6	,
7	accused
8	me
9	of
10	not
11	reading
12	my
13	contract
14	,
15	and
16	basically
17	told
18	me
19	to
20	shut
21	up
22	when
23	I
24	was
25	trying
26	to
27	ask
28	questions
29	to
30	further
31	understand
32	the
33	process
34	of
35	canceling
36	my
37	membership
38	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	owner	NOUN	5	nsubj
3	was	AUX	5	cop
4	VERY	ADV	5	advmod
5	rude	ADJ	0	root
6	,	PUNCT	7	punct
7	accused	VERB	5	conj
8	me	PRON	7	obj
9	of	SCONJ	11	mark
10	not	ADV	11	advmod
11	reading	VERB	7	advcl
12	my	PRON	13	nmod:poss
13	contract	NOUN	11	obj
14	,	PUNCT	17	punct
15	and	CCONJ	17	cc
16	basically	ADV	17	advmod
17	told	VERB	5	conj
18	me	PRON	17	obj
19	to	PART	20	mark
20	shut	VERB	17	xcomp
21	up	ADP	20	compound:prt
22	when	SCONJ	25	mark
23	I	PRON	25	nsubj
24	was	AUX	25	aux
25	trying	VERB	17	advcl
26	to	PART	27	mark
27	ask	VERB	25	xcomp
28	questions	NOUN	27	obj
29	to	PART	31	mark
30	further	ADV	31	advmod
31	understand	VERB	27	xcomp
32	the	DET	33	det
33	process	NOUN	31	obj
34	of	SCONJ	35	mark
35	canceling	VERB	33	acl
36	my	PRON	37	nmod:poss
37	membership	NOUN	35	obj
38	.	PUNCT	5	punct