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 am made to feel special when I am in the chair and I have NEVER had a less than amazing cut or color experience.
Postion	Tokenization
1	I
2	am
3	made
4	to
5	feel
6	special
7	when
8	I
9	am
10	in
11	the
12	chair
13	and
14	I
15	have
16	NEVER
17	had
18	a
19	less
20	than
21	amazing
22	cut
23	or
24	color
25	experience
26	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj:pass
2	am	AUX	3	aux:pass
3	made	VERB	0	root
4	to	PART	5	mark
5	feel	VERB	3	xcomp
6	special	ADJ	5	xcomp
7	when	SCONJ	12	mark
8	I	PRON	12	nsubj
9	am	AUX	12	cop
10	in	ADP	12	case
11	the	DET	12	det
12	chair	NOUN	3	advcl
13	and	CCONJ	17	cc
14	I	PRON	17	nsubj
15	have	AUX	17	aux
16	NEVER	ADV	17	advmod
17	had	VERB	3	conj
18	a	DET	25	det
19	less	ADJ	21	advmod
20	than	ADP	19	fixed
21	amazing	ADJ	25	amod
22	cut	NOUN	25	compound
23	or	CCONJ	24	cc
24	color	NOUN	22	conj
25	experience	NOUN	17	obj
26	.	PUNCT	3	punct