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:
As I have gone through many reviews sites to see if any provider is providing better services or not, and I have realized that there were many good reviews about Liquidweb also Steven never faced any server issues in his whole hosting.
Postion	Tokenization
1	As
2	I
3	have
4	gone
5	through
6	many
7	reviews
8	sites
9	to
10	see
11	if
12	any
13	provider
14	is
15	providing
16	better
17	services
18	or
19	not
20	,
21	and
22	I
23	have
24	realized
25	that
26	there
27	were
28	many
29	good
30	reviews
31	about
32	Liquidweb
33	also
34	Steven
35	never
36	faced
37	any
38	server
39	issues
40	in
41	his
42	whole
43	hosting
44	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	4	mark
2	I	PRON	4	nsubj
3	have	AUX	4	aux
4	gone	VERB	0	root
5	through	ADP	8	case
6	many	ADJ	8	amod
7	reviews	NOUN	8	compound
8	sites	NOUN	4	obl
9	to	PART	10	mark
10	see	VERB	4	advcl
11	if	SCONJ	15	mark
12	any	DET	13	det
13	provider	NOUN	15	nsubj
14	is	AUX	15	aux
15	providing	VERB	10	advcl
16	better	ADJ	17	amod
17	services	NOUN	15	obj
18	or	CCONJ	19	cc
19	not	PART	15	conj
20	,	PUNCT	24	punct
21	and	CCONJ	24	cc
22	I	PRON	24	nsubj
23	have	AUX	24	aux
24	realized	VERB	4	conj
25	that	SCONJ	27	mark
26	there	PRON	27	expl
27	were	VERB	24	ccomp
28	many	ADJ	30	amod
29	good	ADJ	30	amod
30	reviews	NOUN	27	nsubj
31	about	ADP	32	case
32	Liquidweb	PROPN	30	nmod
33	also	ADV	36	advmod
34	Steven	PROPN	36	nsubj
35	never	ADV	36	advmod
36	faced	VERB	4	parataxis
37	any	DET	39	det
38	server	NOUN	39	compound
39	issues	NOUN	36	obj
40	in	ADP	43	case
41	his	PRON	43	nmod:poss
42	whole	ADJ	43	amod
43	hosting	NOUN	36	obl
44	.	PUNCT	36	punct