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 caught the third day of Corey's Jeopardy run last night here at the office (yes, I had to come back after the play...I love my job!).
Postion	Tokenization
1	I
2	caught
3	the
4	third
5	day
6	of
7	Corey's
8	Corey
9	's
10	Jeopardy
11	run
12	last
13	night
14	here
15	at
16	the
17	office
18	(
19	yes
20	,
21	I
22	had
23	to
24	come
25	back
26	after
27	the
28	play
29	...
30	I
31	love
32	my
33	job
34	!
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	caught	VERB	0	root
3	the	DET	5	det
4	third	ADJ	5	amod
5	day	NOUN	2	obj
6	of	ADP	10	case
7	Corey's	_	None	_
8	Corey	PROPN	10	nmod:poss
9	's	PART	7	case
10	Jeopardy	PROPN	10	compound
11	run	NOUN	5	nmod
12	last	ADJ	12	amod
13	night	NOUN	2	obl:tmod
14	here	ADV	2	advmod
15	at	ADP	16	case
16	the	DET	16	det
17	office	NOUN	13	obl
18	(	PUNCT	21	punct
19	yes	INTJ	21	discourse
20	,	PUNCT	21	punct
21	I	PRON	21	nsubj
22	had	VERB	2	parataxis
23	to	PART	23	mark
24	come	VERB	21	xcomp
25	back	ADV	23	advmod
26	after	ADP	27	case
27	the	DET	27	det
28	play	NOUN	23	obl
29	...	PUNCT	21	punct
30	I	PRON	30	nsubj
31	love	VERB	21	parataxis
32	my	PRON	32	nmod:poss
33	job	NOUN	30	obj
34	!	PUNCT	21	punct
35	)	PUNCT	21	punct
36	.	PUNCT	2	punct