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'm not interested in shopping in a place with people like her... she refused to sell me the item at its marked price even after admitting they had made a mistake.
Postion	Tokenization
1	I'm
2	I
3	'm
4	not
5	interested
6	in
7	shopping
8	in
9	a
10	place
11	with
12	people
13	like
14	her
15	...
16	she
17	refused
18	to
19	sell
20	me
21	the
22	item
23	at
24	its
25	marked
26	price
27	even
28	after
29	admitting
30	they
31	had
32	made
33	a
34	mistake
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	4	nsubj
3	'm	AUX	4	cop
4	not	PART	4	advmod
5	interested	ADJ	0	root
6	in	SCONJ	6	mark
7	shopping	VERB	4	advcl
8	in	ADP	9	case
9	a	DET	9	det
10	place	NOUN	6	obl
11	with	ADP	11	case
12	people	NOUN	9	nmod
13	like	ADP	13	case
14	her	PRON	11	nmod
15	...	PUNCT	4	punct
16	she	PRON	16	nsubj
17	refused	VERB	4	parataxis
18	to	PART	18	mark
19	sell	VERB	16	xcomp
20	me	PRON	18	iobj
21	the	DET	21	det
22	item	NOUN	18	obj
23	at	ADP	25	case
24	its	PRON	25	nmod:poss
25	marked	VERB	25	amod
26	price	NOUN	18	obl
27	even	ADV	28	advmod
28	after	SCONJ	28	mark
29	admitting	VERB	18	advcl
30	they	PRON	31	nsubj
31	had	AUX	31	aux
32	made	VERB	28	ccomp
33	a	DET	33	det
34	mistake	NOUN	31	obj
35	.	PUNCT	4	punct