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:
as an example they took payment for 5 out of 6 monthly plan premiums for a yearly policy and cancelled the contract for the remainder of the policy for reasons they stated was not receiving information on other licensed drivers in the household ?
Postion	Tokenization
1	as
2	an
3	example
4	they
5	took
6	payment
7	for
8	5
9	out
10	of
11	6
12	monthly
13	plan
14	premiums
15	for
16	a
17	yearly
18	policy
19	and
20	cancelled
21	the
22	contract
23	for
24	the
25	remainder
26	of
27	the
28	policy
29	for
30	reasons
31	they
32	stated
33	was
34	not
35	receiving
36	information
37	on
38	other
39	licensed
40	drivers
41	in
42	the
43	household
44	?
Position	Tokenization	UPOS	Head	Deprel
1	as	ADP	3	case
2	an	DET	3	det
3	example	NOUN	5	obl
4	they	PRON	5	nsubj
5	took	VERB	0	root
6	payment	NOUN	5	obj
7	for	ADP	14	case
8	5	NUM	12	compound
9	out	ADP	11	case
10	of	ADP	11	case
11	6	NUM	8	nmod
12	monthly	ADJ	14	amod
13	plan	NOUN	14	compound
14	premiums	NOUN	6	nmod
15	for	ADP	18	case
16	a	DET	18	det
17	yearly	ADJ	18	amod
18	policy	NOUN	6	nmod
19	and	CCONJ	20	cc
20	cancelled	VERB	5	conj
21	the	DET	22	det
22	contract	NOUN	20	obj
23	for	ADP	25	case
24	the	DET	25	det
25	remainder	NOUN	22	nmod
26	of	ADP	28	case
27	the	DET	28	det
28	policy	NOUN	25	nmod
29	for	ADP	30	case
30	reasons	NOUN	20	obl
31	they	PRON	32	nsubj
32	stated	VERB	30	acl:relcl
33	was	AUX	35	aux
34	not	PART	35	advmod
35	receiving	VERB	32	ccomp
36	information	NOUN	35	obj
37	on	ADP	40	case
38	other	ADJ	40	amod
39	licensed	VERB	40	amod
40	drivers	NOUN	36	nmod
41	in	ADP	43	case
42	the	DET	43	det
43	household	NOUN	40	nmod
44	?	PUNCT	5	punct