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:
Not once did I feel listened to like they actually cared about what I wanted, all they were interested in was me signing a contract right then and there.
Postion	Tokenization
1	Not
2	once
3	did
4	I
5	feel
6	listened
7	to
8	like
9	they
10	actually
11	cared
12	about
13	what
14	I
15	wanted
16	,
17	all
18	they
19	were
20	interested
21	in
22	was
23	me
24	signing
25	a
26	contract
27	right
28	then
29	and
30	there
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Not	PART	2	advmod
2	once	ADV	5	advmod
3	did	AUX	5	aux
4	I	PRON	5	nsubj
5	feel	VERB	0	root
6	listened	VERB	5	xcomp
7	to	ADP	6	obl
8	like	SCONJ	11	mark
9	they	PRON	11	nsubj
10	actually	ADV	11	advmod
11	cared	VERB	6	advcl
12	about	SCONJ	13	case
13	what	PRON	11	obl
14	I	PRON	15	nsubj
15	wanted	VERB	13	acl:relcl
16	,	PUNCT	24	punct
17	all	DET	24	nsubj
18	they	PRON	20	nsubj
19	were	AUX	20	cop
20	interested	ADJ	17	acl:relcl
21	in	ADP	20	obl
22	was	AUX	24	cop
23	me	PRON	24	nsubj
24	signing	VERB	5	parataxis
25	a	DET	26	det
26	contract	NOUN	24	obj
27	right	ADV	28	advmod
28	then	ADV	24	advmod
29	and	CCONJ	30	cc
30	there	ADV	28	conj
31	.	PUNCT	24	punct