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 began seeing Dr. Romanick back in 2000 and have seen a significant decline in the quality of care, patient-doctor communication, and just the overall level of services.
Postion	Tokenization
1	I
2	began
3	seeing
4	Dr.
5	Romanick
6	back
7	in
8	2000
9	and
10	have
11	seen
12	a
13	significant
14	decline
15	in
16	the
17	quality
18	of
19	care
20	,
21	patient
22	-
23	doctor
24	communication
25	,
26	and
27	just
28	the
29	overall
30	level
31	of
32	services
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	began	VERB	0	root
3	seeing	VERB	2	xcomp
4	Dr.	PROPN	3	obj
5	Romanick	PROPN	4	flat
6	back	ADV	8	advmod
7	in	ADP	8	case
8	2000	NUM	2	obl
9	and	CCONJ	11	cc
10	have	AUX	11	aux
11	seen	VERB	2	conj
12	a	DET	14	det
13	significant	ADJ	14	amod
14	decline	NOUN	11	obj
15	in	ADP	17	case
16	the	DET	17	det
17	quality	NOUN	14	nmod
18	of	ADP	19	case
19	care	NOUN	17	nmod
20	,	PUNCT	24	punct
21	patient	NOUN	23	compound
22	-	PUNCT	23	punct
23	doctor	NOUN	24	compound
24	communication	NOUN	17	conj
25	,	PUNCT	30	punct
26	and	CCONJ	30	cc
27	just	ADV	30	advmod
28	the	DET	30	det
29	overall	ADJ	30	amod
30	level	NOUN	17	conj
31	of	ADP	32	case
32	services	NOUN	30	nmod
33	.	PUNCT	2	punct