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:
My dental surgeon, Dr. Lucy Nichols is clearly a dental perfectionist and clearly proud both of the work she does and the reputation she has established.
Postion	Tokenization
1	My
2	dental
3	surgeon
4	,
5	Dr.
6	Lucy
7	Nichols
8	is
9	clearly
10	a
11	dental
12	perfectionist
13	and
14	clearly
15	proud
16	both
17	of
18	the
19	work
20	she
21	does
22	and
23	the
24	reputation
25	she
26	has
27	established
28	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	3	nmod:poss
2	dental	ADJ	3	amod
3	surgeon	NOUN	12	nsubj
4	,	PUNCT	3	punct
5	Dr.	PROPN	3	appos
6	Lucy	PROPN	5	flat
7	Nichols	PROPN	5	flat
8	is	AUX	12	cop
9	clearly	ADV	12	advmod
10	a	DET	12	det
11	dental	ADJ	12	amod
12	perfectionist	NOUN	0	root
13	and	CCONJ	15	cc
14	clearly	ADV	15	advmod
15	proud	ADJ	12	conj
16	both	CCONJ	19	cc:preconj
17	of	ADP	19	case
18	the	DET	19	det
19	work	NOUN	15	obl
20	she	PRON	21	nsubj
21	does	VERB	19	acl:relcl
22	and	CCONJ	24	cc
23	the	DET	24	det
24	reputation	NOUN	19	conj
25	she	PRON	27	nsubj
26	has	AUX	27	aux
27	established	VERB	24	acl:relcl
28	.	PUNCT	12	punct