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:
Back to my poor rating - I was excepted to medical school and went in to cancel my membership as I was told I could do since I was moving away.
Postion	Tokenization
1	Back
2	to
3	my
4	poor
5	rating
6	-
7	I
8	was
9	excepted
10	to
11	medical
12	school
13	and
14	went
15	in
16	to
17	cancel
18	my
19	membership
20	as
21	I
22	was
23	told
24	I
25	could
26	do
27	since
28	I
29	was
30	moving
31	away
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Back	ADV	0	root
2	to	ADP	5	case
3	my	PRON	5	nmod:poss
4	poor	ADJ	5	amod
5	rating	NOUN	1	obl
6	-	PUNCT	1	punct
7	I	PRON	9	nsubj:pass
8	was	AUX	9	aux:pass
9	excepted	VERB	1	parataxis
10	to	ADP	12	case
11	medical	ADJ	12	amod
12	school	NOUN	9	obl
13	and	CCONJ	14	cc
14	went	VERB	9	conj
15	in	ADV	14	advmod
16	to	PART	17	mark
17	cancel	VERB	14	advcl
18	my	PRON	19	nmod:poss
19	membership	NOUN	17	obj
20	as	SCONJ	23	mark
21	I	PRON	23	nsubj:pass
22	was	AUX	23	aux:pass
23	told	VERB	17	advcl
24	I	PRON	26	nsubj
25	could	AUX	26	aux
26	do	VERB	23	ccomp
27	since	SCONJ	30	mark
28	I	PRON	30	nsubj
29	was	AUX	30	aux
30	moving	VERB	23	ccomp
31	away	ADV	30	advmod
32	.	PUNCT	1	punct