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:
Even if you can figure out what is wrong with this poor poneh, there is always the chance for remission and then relapse so you may have to do deal with again in the future.
Postion	Tokenization
1	Even
2	if
3	you
4	can
5	figure
6	out
7	what
8	is
9	wrong
10	with
11	this
12	poor
13	poneh
14	,
15	there
16	is
17	always
18	the
19	chance
20	for
21	remission
22	and
23	then
24	relapse
25	so
26	you
27	may
28	have
29	to
30	do
31	deal
32	with
33	again
34	in
35	the
36	future
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	5	advmod
2	if	SCONJ	5	mark
3	you	PRON	5	nsubj
4	can	AUX	5	aux
5	figure	VERB	16	advcl
6	out	ADP	5	compound:prt
7	what	PRON	9	nsubj
8	is	AUX	9	cop
9	wrong	ADJ	5	ccomp
10	with	ADP	13	case
11	this	DET	13	det
12	poor	ADJ	13	amod
13	poneh	NOUN	9	obl
14	,	PUNCT	16	punct
15	there	PRON	16	expl
16	is	VERB	0	root
17	always	ADV	16	advmod
18	the	DET	19	det
19	chance	NOUN	16	nsubj
20	for	ADP	21	case
21	remission	NOUN	19	nmod
22	and	CCONJ	24	cc
23	then	ADV	24	advmod
24	relapse	NOUN	21	conj
25	so	ADV	28	mark
26	you	PRON	28	nsubj
27	may	AUX	28	aux
28	have	VERB	16	advcl
29	to	PART	31	mark
30	do	VERB	31	reparandum
31	deal	VERB	28	xcomp
32	with	ADV	31	advmod
33	again	ADV	31	advmod
34	in	ADP	36	case
35	the	DET	36	det
36	future	NOUN	31	obl
37	.	PUNCT	16	punct