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:
She is the one that can't afford to do anything else for him in case he doesn't recover fully.
Postion	Tokenization
1	She
2	is
3	the
4	one
5	that
6	can't
7	ca
8	n't
9	afford
10	to
11	do
12	anything
13	else
14	for
15	him
16	in
17	case
18	he
19	doesn't
20	does
21	n't
22	recover
23	fully
24	.
Position	Tokenization	UPOS	Head	Deprel
1	She	PRON	4	nsubj
2	is	AUX	4	cop
3	the	DET	4	det
4	one	NOUN	0	root
5	that	PRON	8	nsubj
6	can't	_	None	_
7	ca	AUX	8	aux
8	n't	PART	8	advmod
9	afford	VERB	4	acl:relcl
10	to	PART	10	mark
11	do	VERB	8	xcomp
12	anything	PRON	10	obj
13	else	ADJ	11	amod
14	for	ADP	14	case
15	him	PRON	10	obl
16	in	SCONJ	20	mark
17	case	NOUN	15	fixed
18	he	PRON	20	nsubj
19	doesn't	_	None	_
20	does	AUX	20	aux
21	n't	PART	20	advmod
22	recover	VERB	10	advcl
23	fully	ADV	20	advmod
24	.	PUNCT	4	punct