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:
He also neglected to tell the other person working at the store about a dining room table that I had ordered and that was supposed to be coming in.
Postion	Tokenization
1	He
2	also
3	neglected
4	to
5	tell
6	the
7	other
8	person
9	working
10	at
11	the
12	store
13	about
14	a
15	dining
16	room
17	table
18	that
19	I
20	had
21	ordered
22	and
23	that
24	was
25	supposed
26	to
27	be
28	coming
29	in
30	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	also	ADV	3	advmod
3	neglected	VERB	0	root
4	to	PART	5	mark
5	tell	VERB	3	xcomp
6	the	DET	8	det
7	other	ADJ	8	amod
8	person	NOUN	5	obj
9	working	VERB	8	acl
10	at	ADP	12	case
11	the	DET	12	det
12	store	NOUN	9	obl
13	about	ADP	17	case
14	a	DET	17	det
15	dining	NOUN	16	compound
16	room	NOUN	17	compound
17	table	NOUN	5	obl
18	that	PRON	21	obj
19	I	PRON	21	nsubj
20	had	AUX	21	aux
21	ordered	VERB	17	acl:relcl
22	and	CCONJ	25	cc
23	that	PRON	25	nsubj
24	was	AUX	25	aux
25	supposed	VERB	21	conj
26	to	PART	28	mark
27	be	AUX	28	aux
28	coming	VERB	25	xcomp
29	in	ADV	28	advmod
30	.	PUNCT	3	punct