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 not sure about the quality of the other doctors there, but i do know from personal experience that Dr. Christopher T. Strzalka is not a man of his word, and is also very CRUEL AND UNCARING!!
Postion	Tokenization
1	I
2	am
3	not
4	sure
5	about
6	the
7	quality
8	of
9	the
10	other
11	doctors
12	there
13	,
14	but
15	i
16	do
17	know
18	from
19	personal
20	experience
21	that
22	Dr.
23	Christopher
24	T.
25	Strzalka
26	is
27	not
28	a
29	man
30	of
31	his
32	word
33	,
34	and
35	is
36	also
37	very
38	CRUEL
39	AND
40	UNCARING
41	!!
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	am	AUX	4	cop
3	not	PART	4	advmod
4	sure	ADJ	0	root
5	about	ADP	7	case
6	the	DET	7	det
7	quality	NOUN	4	obl
8	of	ADP	11	case
9	the	DET	11	det
10	other	ADJ	11	amod
11	doctors	NOUN	7	nmod
12	there	ADV	11	advmod
13	,	PUNCT	17	punct
14	but	CCONJ	17	cc
15	i	PRON	17	nsubj
16	do	AUX	17	aux
17	know	VERB	4	conj
18	from	ADP	20	case
19	personal	ADJ	20	amod
20	experience	NOUN	17	obl
21	that	SCONJ	29	mark
22	Dr.	PROPN	29	nsubj
23	Christopher	PROPN	22	flat
24	T.	PROPN	22	flat
25	Strzalka	PROPN	22	flat
26	is	AUX	29	cop
27	not	PART	29	advmod
28	a	DET	29	det
29	man	NOUN	17	ccomp
30	of	ADP	32	case
31	his	PRON	32	nmod:poss
32	word	NOUN	29	nmod
33	,	PUNCT	38	punct
34	and	CCONJ	38	cc
35	is	AUX	38	cop
36	also	ADV	38	advmod
37	very	ADV	38	advmod
38	CRUEL	ADJ	29	conj
39	AND	CCONJ	40	cc
40	UNCARING	ADJ	38	conj
41	!!	PUNCT	4	punct