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:
Unless you want to take the "tell the customer how wrong she is and try and force her into a dress she's obviously not loving" approach which will likely get you... uh... nowhere.
Postion	Tokenization
1	Unless
2	you
3	want
4	to
5	take
6	the
7	"
8	tell
9	the
10	customer
11	how
12	wrong
13	she
14	is
15	and
16	try
17	and
18	force
19	her
20	into
21	a
22	dress
23	she's
24	she
25	's
26	obviously
27	not
28	loving
29	"
30	approach
31	which
32	will
33	likely
34	get
35	you
36	...
37	uh
38	...
39	nowhere
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Unless	SCONJ	3	mark
2	you	PRON	3	nsubj
3	want	VERB	0	root
4	to	PART	5	mark
5	take	VERB	3	xcomp
6	the	DET	29	det
7	"	PUNCT	8	punct
8	tell	VERB	29	acl
9	the	DET	10	det
10	customer	NOUN	8	iobj
11	how	SCONJ	12	mark
12	wrong	ADJ	8	obj
13	she	PRON	14	nsubj
14	is	VERB	12	acl:relcl
15	and	CCONJ	16	cc
16	try	VERB	8	conj
17	and	CCONJ	18	cc
18	force	VERB	8	conj
19	her	PRON	18	obj
20	into	ADP	22	case
21	a	DET	22	det
22	dress	NOUN	18	obl
23	she's	_	None	_
24	she	PRON	27	nsubj
25	's	AUX	27	aux
26	obviously	ADV	27	advmod
27	not	PART	27	advmod
28	loving	VERB	22	acl:relcl
29	"	PUNCT	8	punct
30	approach	NOUN	5	obj
31	which	PRON	33	nsubj
32	will	AUX	33	aux
33	likely	ADV	33	advmod
34	get	VERB	29	acl:relcl
35	you	PRON	33	obj
36	...	PUNCT	33	punct
37	uh	INTJ	33	discourse
38	...	PUNCT	33	punct
39	nowhere	ADV	33	advmod
40	.	PUNCT	3	punct