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 for those who later abstain, "visual-spatial abilities, abstraction, problem solving , and short-term memory, are the slowest to recover."
Postion	Tokenization
1	Even
2	for
3	those
4	who
5	later
6	abstain
7	,
8	"
9	visual
10	-
11	spatial
12	abilities
13	,
14	abstraction
15	,
16	problem
17	solving
18	,
19	and
20	short
21	-
22	term
23	memory
24	,
25	are
26	the
27	slowest
28	to
29	recover
30	.
31	"
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	3	advmod
2	for	ADP	3	case
3	those	PRON	27	obl
4	who	PRON	6	nsubj
5	later	ADV	6	advmod
6	abstain	VERB	3	acl:relcl
7	,	PUNCT	27	punct
8	"	PUNCT	27	punct
9	visual	ADJ	11	amod
10	-	PUNCT	11	punct
11	spatial	ADJ	12	amod
12	abilities	NOUN	27	nsubj
13	,	PUNCT	14	punct
14	abstraction	NOUN	12	conj
15	,	PUNCT	17	punct
16	problem	NOUN	17	compound
17	solving	NOUN	12	conj
18	,	PUNCT	23	punct
19	and	CCONJ	23	cc
20	short	ADJ	22	amod
21	-	PUNCT	22	punct
22	term	NOUN	23	compound
23	memory	NOUN	12	conj
24	,	PUNCT	27	punct
25	are	AUX	27	cop
26	the	DET	27	det
27	slowest	ADJ	0	root
28	to	PART	29	mark
29	recover	VERB	27	advcl
30	.	PUNCT	27	punct
31	"	PUNCT	27	punct