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:
"Non!" means "non", not "I might consider it, and I will keep you attached to my apron strings just in case."
Postion	Tokenization
1	"
2	Non
3	!
4	"
5	means
6	"
7	non
8	"
9	,
10	not
11	"
12	I
13	might
14	consider
15	it
16	,
17	and
18	I
19	will
20	keep
21	you
22	attached
23	to
24	my
25	apron
26	strings
27	just
28	in
29	case
30	.
31	"
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Non	X	5	discourse
3	!	PUNCT	2	punct
4	"	PUNCT	2	punct
5	means	VERB	0	root
6	"	PUNCT	7	punct
7	non	X	5	obj
8	"	PUNCT	7	punct
9	,	PUNCT	14	punct
10	not	CCONJ	14	cc
11	"	PUNCT	14	punct
12	I	PRON	14	nsubj
13	might	AUX	14	aux
14	consider	VERB	7	conj
15	it	PRON	14	obj
16	,	PUNCT	20	punct
17	and	CCONJ	20	cc
18	I	PRON	20	nsubj
19	will	AUX	20	aux
20	keep	VERB	14	conj
21	you	PRON	20	obj
22	attached	ADJ	20	xcomp
23	to	ADP	26	case
24	my	PRON	26	nmod:poss
25	apron	NOUN	26	compound
26	strings	NOUN	22	obl
27	just	ADV	28	advmod
28	in	ADP	20	advmod
29	case	NOUN	28	fixed
30	.	PUNCT	5	punct
31	"	PUNCT	5	punct