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:
I came back with the receipt Ahmed had provided upon my purchase, and the guy took forever to copy it but said that he would take care of the situation.
Postion	Tokenization
1	I
2	came
3	back
4	with
5	the
6	receipt
7	Ahmed
8	had
9	provided
10	upon
11	my
12	purchase
13	,
14	and
15	the
16	guy
17	took
18	forever
19	to
20	copy
21	it
22	but
23	said
24	that
25	he
26	would
27	take
28	care
29	of
30	the
31	situation
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	came	VERB	0	root
3	back	ADV	2	advmod
4	with	ADP	6	case
5	the	DET	6	det
6	receipt	NOUN	2	obl
7	Ahmed	PROPN	9	nsubj
8	had	AUX	9	aux
9	provided	VERB	6	acl:relcl
10	upon	ADP	12	case
11	my	PRON	12	nmod:poss
12	purchase	NOUN	9	obl
13	,	PUNCT	17	punct
14	and	CCONJ	17	cc
15	the	DET	16	det
16	guy	NOUN	17	nsubj
17	took	VERB	2	conj
18	forever	ADV	17	advmod
19	to	PART	20	mark
20	copy	VERB	17	advcl
21	it	PRON	20	obj
22	but	CCONJ	23	cc
23	said	VERB	17	conj
24	that	SCONJ	27	mark
25	he	PRON	27	nsubj
26	would	AUX	27	aux
27	take	VERB	23	ccomp
28	care	NOUN	27	obj
29	of	ADP	31	case
30	the	DET	31	det
31	situation	NOUN	27	obl
32	.	PUNCT	2	punct