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:
EDIT: My memory may not be good so you might get a more accurate answer from someone else who remembers the time.
Postion	Tokenization
1	EDIT
2	:
3	My
4	memory
5	may
6	not
7	be
8	good
9	so
10	you
11	might
12	get
13	a
14	more
15	accurate
16	answer
17	from
18	someone
19	else
20	who
21	remembers
22	the
23	time
24	.
Position	Tokenization	UPOS	Head	Deprel
1	EDIT	NOUN	0	root
2	:	PUNCT	1	punct
3	My	PRON	4	nmod:poss
4	memory	NOUN	8	nsubj
5	may	AUX	8	aux
6	not	PART	8	advmod
7	be	AUX	8	cop
8	good	ADJ	1	appos
9	so	ADV	12	advmod
10	you	PRON	12	nsubj
11	might	AUX	12	aux
12	get	VERB	8	conj
13	a	DET	16	det
14	more	ADV	15	advmod
15	accurate	ADJ	16	amod
16	answer	NOUN	12	obj
17	from	ADP	18	case
18	someone	PRON	12	obl
19	else	ADJ	18	amod
20	who	PRON	21	nsubj
21	remembers	VERB	18	acl:relcl
22	the	DET	23	det
23	time	NOUN	21	obj
24	.	PUNCT	1	punct