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:
PS Your brother told me he went to 3 bowl games (when I found out that two of them were the galleryfurniture.com bowl and that one in Shreveport (I can't remember the name of it)) I realized he is a very, very sick college football fan.
Postion	Tokenization
1	PS
2	Your
3	brother
4	told
5	me
6	he
7	went
8	to
9	3
10	bowl
11	games
12	(
13	when
14	I
15	found
16	out
17	that
18	two
19	of
20	them
21	were
22	the
23	galleryfurniture.com
24	bowl
25	and
26	that
27	one
28	in
29	Shreveport
30	(
31	I
32	can't
33	ca
34	n't
35	remember
36	the
37	name
38	of
39	it
40	))
41	I
42	realized
43	he
44	is
45	a
46	very
47	,
48	very
49	sick
50	college
51	football
52	fan
53	.
Position	Tokenization	UPOS	Head	Deprel
1	PS	NOUN	4	advmod
2	Your	PRON	3	nmod:poss
3	brother	NOUN	4	nsubj
4	told	VERB	0	root
5	me	PRON	4	iobj
6	he	PRON	7	nsubj
7	went	VERB	4	ccomp
8	to	ADP	11	case
9	3	NUM	11	nummod
10	bowl	NOUN	11	compound
11	games	NOUN	7	obl
12	(	PUNCT	4	punct
13	when	SCONJ	15	mark
14	I	PRON	15	nsubj
15	found	VERB	41	advcl
16	out	ADP	15	compound:prt
17	that	SCONJ	24	mark
18	two	NUM	24	nsubj
19	of	ADP	20	case
20	them	PRON	18	nmod
21	were	AUX	24	cop
22	the	DET	24	det
23	galleryfurniture.com	X	24	compound
24	bowl	NOUN	15	ccomp
25	and	CCONJ	27	cc
26	that	DET	27	det
27	one	NOUN	24	conj
28	in	ADP	29	case
29	Shreveport	PROPN	27	nmod
30	(	PUNCT	34	punct
31	I	PRON	34	nsubj
32	can't	_	None	_
33	ca	AUX	34	aux
34	n't	PART	34	advmod
35	remember	VERB	27	parataxis
36	the	DET	36	det
37	name	NOUN	34	obj
38	of	ADP	38	case
39	it	PRON	36	nmod
40	))	PUNCT	34	punct
41	I	PRON	41	nsubj
42	realized	VERB	4	parataxis
43	he	PRON	51	nsubj
44	is	AUX	51	cop
45	a	DET	51	det
46	very	ADV	48	advmod
47	,	PUNCT	48	punct
48	very	ADV	48	advmod
49	sick	ADJ	51	amod
50	college	NOUN	50	compound
51	football	NOUN	51	compound
52	fan	NOUN	41	ccomp
53	.	PUNCT	4	punct