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:
When I originally joined in January I only did so because I was told I would be able to cancel the 12 month membership if I was to move away.
Postion	Tokenization
1	When
2	I
3	originally
4	joined
5	in
6	January
7	I
8	only
9	did
10	so
11	because
12	I
13	was
14	told
15	I
16	would
17	be
18	able
19	to
20	cancel
21	the
22	12
23	month
24	membership
25	if
26	I
27	was
28	to
29	move
30	away
31	.
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	4	mark
2	I	PRON	4	nsubj
3	originally	ADV	4	advmod
4	joined	VERB	9	advcl
5	in	ADP	6	case
6	January	PROPN	4	obl
7	I	PRON	9	nsubj
8	only	ADV	9	advmod
9	did	AUX	0	root
10	so	ADV	9	advmod
11	because	SCONJ	14	mark
12	I	PRON	14	nsubj:pass
13	was	AUX	14	aux:pass
14	told	VERB	9	advcl
15	I	PRON	18	nsubj
16	would	AUX	18	aux
17	be	AUX	18	cop
18	able	ADJ	14	ccomp
19	to	PART	20	mark
20	cancel	VERB	18	xcomp
21	the	DET	24	det
22	12	NUM	23	nummod
23	month	NOUN	24	compound
24	membership	NOUN	20	obj
25	if	SCONJ	29	mark
26	I	PRON	29	nsubj
27	was	AUX	29	aux
28	to	PART	29	mark
29	move	VERB	20	advcl
30	away	ADV	29	advmod
31	.	PUNCT	9	punct