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 didn't expect to react that way, but when I was looking around my workplace in Nashua, New Hampshire, and everyone else looked pretty much like me, it was really very eerie.
Postion	Tokenization
1	I
2	didn't
3	did
4	n't
5	expect
6	to
7	react
8	that
9	way
10	,
11	but
12	when
13	I
14	was
15	looking
16	around
17	my
18	workplace
19	in
20	Nashua
21	,
22	New
23	Hampshire
24	,
25	and
26	everyone
27	else
28	looked
29	pretty
30	much
31	like
32	me
33	,
34	it
35	was
36	really
37	very
38	eerie
39	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	didn't	_	None	_
3	did	AUX	4	aux
4	n't	PART	4	advmod
5	expect	VERB	0	root
6	to	PART	6	mark
7	react	VERB	4	xcomp
8	that	DET	8	det
9	way	NOUN	6	obl:npmod
10	,	PUNCT	37	punct
11	but	CCONJ	37	cc
12	when	SCONJ	14	mark
13	I	PRON	14	nsubj
14	was	AUX	14	aux
15	looking	VERB	37	advcl
16	around	ADP	17	case
17	my	PRON	17	nmod:poss
18	workplace	NOUN	14	obl
19	in	ADP	19	case
20	Nashua	PROPN	14	obl
21	,	PUNCT	19	punct
22	New	PROPN	22	compound
23	Hampshire	PROPN	19	appos
24	,	PUNCT	27	punct
25	and	CCONJ	27	cc
26	everyone	PRON	27	nsubj
27	else	ADJ	25	amod
28	looked	VERB	14	conj
29	pretty	ADV	29	advmod
30	much	ADV	31	advmod
31	like	ADP	31	case
32	me	PRON	27	obl
33	,	PUNCT	37	punct
34	it	PRON	37	nsubj
35	was	AUX	37	cop
36	really	ADV	37	advmod
37	very	ADV	37	advmod
38	eerie	ADJ	4	conj
39	.	PUNCT	4	punct