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 text: Anyone else find it a little suspicious that there are not only 20 reviews for this dentist (a HUGE number compared to the others in the area), but that they all have the same unique grammar structure?
Position	Tokenization	UPOS	Head	Deprel
1	Anyone	PRON	3	nsubj
2	else	ADJ	1	amod
3	find	VERB	0	root
4	it	PRON	3	expl
5	a	DET	6	det
6	little	ADJ	7	obl:npmod
7	suspicious	ADJ	3	xcomp
8	that	SCONJ	10	mark
9	there	PRON	10	expl
10	are	VERB	3	ccomp
11	not	PART	12	advmod
12	only	ADV	10	cc:preconj
13	20	NUM	14	nummod
14	reviews	NOUN	10	nsubj
15	for	ADP	17	case
16	this	DET	17	det
17	dentist	NOUN	14	nmod
18	(	PUNCT	21	punct
19	a	DET	21	det
20	HUGE	ADJ	21	amod
21	number	NOUN	14	appos
22	compared	VERB	25	case
23	to	ADP	25	case
24	the	DET	25	det
25	others	NOUN	21	nmod
26	in	ADP	28	case
27	the	DET	28	det
28	area	NOUN	25	nmod
29	)	PUNCT	21	punct
30	,	PUNCT	35	punct
31	but	CCONJ	35	cc
32	that	SCONJ	35	mark
33	they	PRON	35	nsubj
34	all	DET	33	det
35	have	VERB	10	conj
36	the	DET	40	det
37	same	ADJ	40	amod
38	unique	ADJ	40	amod
39	grammar	NOUN	40	compound
40	structure	NOUN	35	obj
41	?	PUNCT	3	punct