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:
Firstly, the other reviewer clearly has never been to Nick's, or he would know that Nick only charges $13 for a haircut which is pretty much industry standard.
Postion	Tokenization
1	Firstly
2	,
3	the
4	other
5	reviewer
6	clearly
7	has
8	never
9	been
10	to
11	Nick
12	's
13	,
14	or
15	he
16	would
17	know
18	that
19	Nick
20	only
21	charges
22	$
23	13
24	for
25	a
26	haircut
27	which
28	is
29	pretty
30	much
31	industry
32	standard
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Firstly	ADV	11	advmod
2	,	PUNCT	11	punct
3	the	DET	5	det
4	other	ADJ	5	amod
5	reviewer	NOUN	11	nsubj
6	clearly	ADV	11	advmod
7	has	AUX	11	aux
8	never	ADV	11	advmod
9	been	AUX	11	cop
10	to	ADP	11	case
11	Nick	PROPN	0	root
12	's	PART	11	case
13	,	PUNCT	17	punct
14	or	CCONJ	17	cc
15	he	PRON	17	nsubj
16	would	AUX	17	aux
17	know	VERB	11	conj
18	that	SCONJ	21	mark
19	Nick	PROPN	21	nsubj
20	only	ADV	21	advmod
21	charges	VERB	17	ccomp
22	$	SYM	21	obj
23	13	NUM	22	nummod
24	for	ADP	26	case
25	a	DET	26	det
26	haircut	NOUN	21	obl
27	which	PRON	32	nsubj
28	is	AUX	32	cop
29	pretty	ADV	30	advmod
30	much	ADV	32	advmod
31	industry	NOUN	32	compound
32	standard	NOUN	21	parataxis
33	.	PUNCT	11	punct