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:
In addition to the core treatment, Dr Nelson has impressed me further with his concern and interest in the well-being of his patients – his dental work underpinned by a strong duty of care to every patient.
Postion	Tokenization
1	In
2	addition
3	to
4	the
5	core
6	treatment
7	,
8	Dr
9	Nelson
10	has
11	impressed
12	me
13	further
14	with
15	his
16	concern
17	and
18	interest
19	in
20	the
21	well
22	-
23	being
24	of
25	his
26	patients
27	–
28	his
29	dental
30	work
31	underpinned
32	by
33	a
34	strong
35	duty
36	of
37	care
38	to
39	every
40	patient
41	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	addition	NOUN	11	obl
3	to	ADP	6	case
4	the	DET	6	det
5	core	NOUN	6	compound
6	treatment	NOUN	2	nmod
7	,	PUNCT	11	punct
8	Dr	PROPN	11	nsubj
9	Nelson	PROPN	8	flat
10	has	AUX	11	aux
11	impressed	VERB	0	root
12	me	PRON	11	obj
13	further	ADV	11	advmod
14	with	ADP	16	case
15	his	PRON	16	nmod:poss
16	concern	NOUN	11	obl
17	and	CCONJ	18	cc
18	interest	NOUN	16	conj
19	in	ADP	23	case
20	the	DET	23	det
21	well	ADV	23	advmod
22	-	PUNCT	23	punct
23	being	NOUN	16	nmod
24	of	ADP	26	case
25	his	PRON	26	nmod:poss
26	patients	NOUN	23	nmod
27	–	PUNCT	16	punct
28	his	PRON	30	nmod:poss
29	dental	ADJ	30	amod
30	work	NOUN	16	parataxis
31	underpinned	VERB	30	acl
32	by	ADP	35	case
33	a	DET	35	det
34	strong	ADJ	35	amod
35	duty	NOUN	31	obl
36	of	ADP	37	case
37	care	NOUN	35	nmod
38	to	ADP	40	case
39	every	DET	40	det
40	patient	NOUN	37	nmod
41	.	PUNCT	11	punct