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:
I didn't know that I didn't register him in the ridiculous amount of paperwork I had filled out in the hospital and was supposed to go to city hall within 90 days.
Postion	Tokenization
1	I
2	didn't
3	did
4	n't
5	know
6	that
7	I
8	didn't
9	did
10	n't
11	register
12	him
13	in
14	the
15	ridiculous
16	amount
17	of
18	paperwork
19	I
20	had
21	filled
22	out
23	in
24	the
25	hospital
26	and
27	was
28	supposed
29	to
30	go
31	to
32	city
33	hall
34	within
35	90
36	days
37	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	didn't	_	None	_
3	did	AUX	4	aux
4	n't	PART	4	advmod
5	know	VERB	0	root
6	that	SCONJ	9	mark
7	I	PRON	9	nsubj
8	didn't	_	None	_
9	did	AUX	9	aux
10	n't	PART	9	advmod
11	register	VERB	4	ccomp
12	him	PRON	9	obj
13	in	ADP	14	case
14	the	DET	14	det
15	ridiculous	ADJ	14	amod
16	amount	NOUN	9	obl
17	of	ADP	16	case
18	paperwork	NOUN	14	nmod
19	I	PRON	19	nsubj
20	had	AUX	19	aux
21	filled	VERB	16	acl:relcl
22	out	ADP	19	compound:prt
23	in	ADP	23	case
24	the	DET	23	det
25	hospital	NOUN	19	obl
26	and	CCONJ	26	cc
27	was	AUX	26	aux
28	supposed	VERB	9	conj
29	to	PART	28	mark
30	go	VERB	26	xcomp
31	to	ADP	31	case
32	city	NOUN	31	compound
33	hall	NOUN	28	obl
34	within	ADP	34	case
35	90	NUM	34	nummod
36	days	NOUN	28	obl
37	.	PUNCT	4	punct