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 normally don't write reviews but seeing that I considered Dillards a distinguished, upscale place to shop, this one won't be getting my business, nor my family's, nor my co-workers.
Postion	Tokenization
1	I
2	normally
3	don't
4	do
5	n't
6	write
7	reviews
8	but
9	seeing
10	that
11	I
12	considered
13	Dillards
14	a
15	distinguished
16	,
17	upscale
18	place
19	to
20	shop
21	,
22	this
23	one
24	won't
25	wo
26	n't
27	be
28	getting
29	my
30	business
31	,
32	nor
33	my
34	family
35	's
36	,
37	nor
38	my
39	co-workers
40	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	5	nsubj
2	normally	ADV	5	advmod
3	don't	_	None	_
4	do	AUX	5	aux
5	n't	PART	5	advmod
6	write	VERB	0	root
7	reviews	NOUN	5	obj
8	but	CCONJ	26	cc
9	seeing	VERB	26	advcl
10	that	SCONJ	11	mark
11	I	PRON	11	nsubj
12	considered	VERB	8	ccomp
13	Dillards	PROPN	11	obj
14	a	DET	17	det
15	distinguished	ADJ	17	amod
16	,	PUNCT	17	punct
17	upscale	ADJ	17	amod
18	place	NOUN	11	xcomp
19	to	PART	19	mark
20	shop	VERB	17	acl
21	,	PUNCT	26	punct
22	this	DET	22	det
23	one	NUM	26	nsubj
24	won't	_	None	_
25	wo	AUX	26	aux
26	n't	PART	26	advmod
27	be	AUX	26	aux
28	getting	VERB	5	conj
29	my	PRON	28	nmod:poss
30	business	NOUN	26	obj
31	,	PUNCT	32	punct
32	nor	CCONJ	32	cc
33	my	PRON	32	nmod:poss
34	family	NOUN	28	conj
35	's	PART	32	case
36	,	PUNCT	37	punct
37	nor	CCONJ	37	cc
38	my	PRON	37	nmod:poss
39	co-workers	NOUN	28	conj
40	.	PUNCT	5	punct