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 would NEVER recommend this gym to anyone and unfortunately this is based solely on the owner's own unprofessionalism.
Postion	Tokenization
1	I
2	would
3	NEVER
4	recommend
5	this
6	gym
7	to
8	anyone
9	and
10	unfortunately
11	this
12	is
13	based
14	solely
15	on
16	the
17	owner's
18	owner
19	's
20	own
21	unprofessionalism
22	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	would	AUX	4	aux
3	NEVER	ADV	4	advmod
4	recommend	VERB	0	root
5	this	DET	6	det
6	gym	NOUN	4	obj
7	to	ADP	8	case
8	anyone	PRON	4	obl
9	and	CCONJ	13	cc
10	unfortunately	ADV	13	advmod
11	this	PRON	13	nsubj:pass
12	is	AUX	13	aux:pass
13	based	VERB	4	conj
14	solely	ADV	20	advmod
15	on	ADP	20	case
16	the	DET	17	det
17	owner's	_	None	_
18	owner	NOUN	20	nmod:poss
19	's	PART	17	case
20	own	ADJ	20	amod
21	unprofessionalism	NOUN	13	obl
22	.	PUNCT	4	punct