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:
Also, a week after the work, Phet called me up to see how my car was running and to let me know that they had accidentally overcharged me for part of the work and wanted to give me a refund for that amount.
Postion	Tokenization
1	Also
2	,
3	a
4	week
5	after
6	the
7	work
8	,
9	Phet
10	called
11	me
12	up
13	to
14	see
15	how
16	my
17	car
18	was
19	running
20	and
21	to
22	let
23	me
24	know
25	that
26	they
27	had
28	accidentally
29	overcharged
30	me
31	for
32	part
33	of
34	the
35	work
36	and
37	wanted
38	to
39	give
40	me
41	a
42	refund
43	for
44	that
45	amount
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Also	ADV	10	advmod
2	,	PUNCT	10	punct
3	a	DET	4	det
4	week	NOUN	7	nmod:npmod
5	after	ADP	7	case
6	the	DET	7	det
7	work	NOUN	10	obl
8	,	PUNCT	10	punct
9	Phet	PROPN	10	nsubj
10	called	VERB	0	root
11	me	PRON	10	obj
12	up	ADP	10	compound:prt
13	to	PART	14	mark
14	see	VERB	10	advcl
15	how	SCONJ	19	mark
16	my	PRON	17	nmod:poss
17	car	NOUN	19	nsubj
18	was	AUX	19	aux
19	running	VERB	14	ccomp
20	and	CCONJ	22	cc
21	to	PART	22	mark
22	let	VERB	14	conj
23	me	PRON	22	obj
24	know	VERB	22	xcomp
25	that	SCONJ	29	mark
26	they	PRON	29	nsubj
27	had	AUX	29	aux
28	accidentally	ADV	29	advmod
29	overcharged	VERB	24	ccomp
30	me	PRON	29	obj
31	for	ADP	32	case
32	part	NOUN	29	obl
33	of	ADP	35	case
34	the	DET	35	det
35	work	NOUN	32	nmod
36	and	CCONJ	37	cc
37	wanted	VERB	29	conj
38	to	PART	39	mark
39	give	VERB	37	xcomp
40	me	PRON	39	iobj
41	a	DET	42	det
42	refund	NOUN	39	obj
43	for	ADP	45	case
44	that	DET	45	det
45	amount	NOUN	42	nmod
46	.	PUNCT	10	punct