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 feel that the way some doctors offices work around here is a little bit absurd so I'm happy that these guys don't do those two things in particlular.
Postion	Tokenization
1	I
2	feel
3	that
4	the
5	way
6	some
7	doctors
8	doctor
9	s
10	offices
11	work
12	around
13	here
14	is
15	a
16	little
17	bit
18	absurd
19	so
20	I'm
21	I
22	'm
23	happy
24	that
25	these
26	guys
27	don't
28	do
29	n't
30	do
31	those
32	two
33	things
34	in
35	particlular
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	feel	VERB	0	root
3	that	SCONJ	17	mark
4	the	DET	5	det
5	way	NOUN	17	nsubj
6	some	DET	9	det
7	doctors	_	None	_
8	doctor	NOUN	9	nmod:poss
9	s	PART	7	case
10	offices	NOUN	10	nsubj
11	work	VERB	5	acl:relcl
12	around	ADP	12	case
13	here	ADV	10	obl
14	is	AUX	17	cop
15	a	DET	16	det
16	little	ADJ	16	amod
17	bit	NOUN	17	obl:npmod
18	absurd	ADJ	2	ccomp
19	so	ADV	21	advmod
20	I'm	_	None	_
21	I	PRON	21	nsubj
22	'm	AUX	21	cop
23	happy	ADJ	2	parataxis
24	that	SCONJ	27	mark
25	these	DET	24	det
26	guys	NOUN	27	nsubj
27	don't	_	None	_
28	do	AUX	27	aux
29	n't	PART	27	advmod
30	do	VERB	21	ccomp
31	those	DET	30	det
32	two	NUM	30	nummod
33	things	NOUN	27	obj
34	in	ADP	32	case
35	particlular	ADJ	27	obl
36	.	PUNCT	2	punct