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:
Keep in mind though that if you end up failing I will not let you forget it (and, as we have established, I have the memory of an elephant).
Postion	Tokenization
1	Keep
2	in
3	mind
4	though
5	that
6	if
7	you
8	end
9	up
10	failing
11	I
12	will
13	not
14	let
15	you
16	forget
17	it
18	(
19	and
20	,
21	as
22	we
23	have
24	established
25	,
26	I
27	have
28	the
29	memory
30	of
31	an
32	elephant
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Keep	VERB	0	root
2	in	ADP	3	case
3	mind	NOUN	1	obl
4	though	ADV	1	advmod
5	that	SCONJ	14	mark
6	if	SCONJ	8	mark
7	you	PRON	8	nsubj
8	end	VERB	14	advcl
9	up	ADP	8	compound:prt
10	failing	VERB	8	xcomp
11	I	PRON	14	nsubj
12	will	AUX	14	aux
13	not	PART	14	advmod
14	let	VERB	1	ccomp
15	you	PRON	14	obj
16	forget	VERB	14	xcomp
17	it	PRON	16	obj
18	(	PUNCT	14	punct
19	and	CCONJ	27	cc
20	,	PUNCT	27	punct
21	as	SCONJ	24	mark
22	we	PRON	24	nsubj
23	have	AUX	24	aux
24	established	VERB	27	advcl
25	,	PUNCT	27	punct
26	I	PRON	27	nsubj
27	have	VERB	14	conj
28	the	DET	29	det
29	memory	NOUN	27	obj
30	of	ADP	32	case
31	an	DET	32	det
32	elephant	NOUN	29	nmod
33	)	PUNCT	14	punct
34	.	PUNCT	1	punct