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:
Since work has gone to hell, I am hoping to find some excitement in the possibility that LSU may play in the Cotton Bowl (if Rohan "Alabama" Davey shows up for the next 3 games.)
Postion	Tokenization
1	Since
2	work
3	has
4	gone
5	to
6	hell
7	,
8	I
9	am
10	hoping
11	to
12	find
13	some
14	excitement
15	in
16	the
17	possibility
18	that
19	LSU
20	may
21	play
22	in
23	the
24	Cotton
25	Bowl
26	(
27	if
28	Rohan
29	"
30	Alabama
31	"
32	Davey
33	shows
34	up
35	for
36	the
37	next
38	3
39	games
40	.
41	)
Position	Tokenization	UPOS	Head	Deprel
1	Since	SCONJ	4	mark
2	work	NOUN	4	nsubj
3	has	AUX	4	aux
4	gone	VERB	10	advcl
5	to	ADP	6	case
6	hell	NOUN	4	obl
7	,	PUNCT	10	punct
8	I	PRON	10	nsubj
9	am	AUX	10	aux
10	hoping	VERB	0	root
11	to	PART	12	mark
12	find	VERB	10	xcomp
13	some	DET	14	det
14	excitement	NOUN	12	obj
15	in	ADP	17	case
16	the	DET	17	det
17	possibility	NOUN	12	obl
18	that	SCONJ	21	mark
19	LSU	PROPN	21	nsubj
20	may	AUX	21	aux
21	play	VERB	17	acl
22	in	ADP	25	case
23	the	DET	25	det
24	Cotton	PROPN	25	compound
25	Bowl	PROPN	21	obl
26	(	PUNCT	21	punct
27	if	SCONJ	33	mark
28	Rohan	PROPN	33	nsubj
29	"	PUNCT	28	punct
30	Alabama	PROPN	28	flat
31	"	PUNCT	28	punct
32	Davey	PROPN	28	flat
33	shows	VERB	21	advcl
34	up	ADP	33	compound:prt
35	for	ADP	39	case
36	the	DET	39	det
37	next	ADJ	39	amod
38	3	NUM	39	nummod
39	games	NOUN	33	obl
40	.	PUNCT	10	punct
41	)	PUNCT	10	punct