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:
Linda is the rudest person you will ever talk to and she sticks up for all of the trashy, rude people that live there, not the nice ones that actually give a crap about respecting others.
Postion	Tokenization
1	Linda
2	is
3	the
4	rudest
5	person
6	you
7	will
8	ever
9	talk
10	to
11	and
12	she
13	sticks
14	up
15	for
16	all
17	of
18	the
19	trashy
20	,
21	rude
22	people
23	that
24	live
25	there
26	,
27	not
28	the
29	nice
30	ones
31	that
32	actually
33	give
34	a
35	crap
36	about
37	respecting
38	others
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Linda	PROPN	5	nsubj
2	is	AUX	5	cop
3	the	DET	5	det
4	rudest	ADJ	5	amod
5	person	NOUN	0	root
6	you	PRON	9	nsubj
7	will	AUX	9	aux
8	ever	ADV	9	advmod
9	talk	VERB	5	acl:relcl
10	to	ADP	9	obl
11	and	CCONJ	13	cc
12	she	PRON	13	nsubj
13	sticks	VERB	5	conj
14	up	ADP	13	compound:prt
15	for	ADP	16	case
16	all	DET	13	obl
17	of	ADP	22	case
18	the	DET	22	det
19	trashy	ADJ	22	amod
20	,	PUNCT	22	punct
21	rude	ADJ	22	amod
22	people	NOUN	16	nmod
23	that	PRON	24	nsubj
24	live	VERB	22	acl:relcl
25	there	ADV	24	advmod
26	,	PUNCT	30	punct
27	not	ADV	30	advmod
28	the	DET	30	det
29	nice	ADJ	30	amod
30	ones	NOUN	22	conj
31	that	PRON	33	nsubj
32	actually	ADV	33	advmod
33	give	VERB	30	acl:relcl
34	a	DET	35	det
35	crap	NOUN	33	obj
36	about	SCONJ	37	mark
37	respecting	VERB	33	advcl
38	others	NOUN	37	obj
39	.	PUNCT	5	punct