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 guess if you have a schtick that is a resounding success once, you can't help but trot it out every time your act is going sour.
Postion	Tokenization
1	I
2	guess
3	if
4	you
5	have
6	a
7	schtick
8	that
9	is
10	a
11	resounding
12	success
13	once
14	,
15	you
16	can't
17	ca
18	n't
19	help
20	but
21	trot
22	it
23	out
24	every
25	time
26	your
27	act
28	is
29	going
30	sour
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	guess	VERB	0	root
3	if	SCONJ	5	mark
4	you	PRON	5	nsubj
5	have	VERB	18	advcl
6	a	DET	7	det
7	schtick	NOUN	5	obj
8	that	PRON	12	nsubj
9	is	AUX	12	cop
10	a	DET	12	det
11	resounding	ADJ	12	amod
12	success	NOUN	7	acl:relcl
13	once	ADV	12	advmod
14	,	PUNCT	18	punct
15	you	PRON	18	nsubj
16	can't	_	None	_
17	ca	AUX	18	aux
18	n't	PART	18	advmod
19	help	VERB	2	ccomp
20	but	CCONJ	20	cc
21	trot	VERB	18	conj
22	it	PRON	20	obj
23	out	ADP	20	compound:prt
24	every	DET	24	det
25	time	NOUN	20	obl:tmod
26	your	PRON	26	nmod:poss
27	act	NOUN	28	nsubj
28	is	AUX	28	aux
29	going	VERB	24	acl:relcl
30	sour	ADJ	28	xcomp
31	.	PUNCT	2	punct