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 told Paul that you called him yesterday so abruptly because you didn't want to waste his time while you got tests done for arthritis.
Postion	Tokenization
1	I
2	told
3	Paul
4	that
5	you
6	called
7	him
8	yesterday
9	so
10	abruptly
11	because
12	you
13	didn't
14	did
15	n't
16	want
17	to
18	waste
19	his
20	time
21	while
22	you
23	got
24	tests
25	done
26	for
27	arthritis
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	told	VERB	0	root
3	Paul	PROPN	2	iobj
4	that	SCONJ	6	mark
5	you	PRON	6	nsubj
6	called	VERB	2	ccomp
7	him	PRON	6	obj
8	yesterday	NOUN	6	obl:tmod
9	so	ADV	10	advmod
10	abruptly	ADV	6	advmod
11	because	SCONJ	15	mark
12	you	PRON	15	nsubj
13	didn't	_	None	_
14	did	AUX	15	aux
15	n't	PART	15	advmod
16	want	VERB	6	advcl
17	to	PART	17	mark
18	waste	VERB	15	xcomp
19	his	PRON	19	nmod:poss
20	time	NOUN	17	obj
21	while	SCONJ	22	mark
22	you	PRON	22	nsubj
23	got	VERB	17	advcl
24	tests	NOUN	22	obj
25	done	VERB	22	xcomp
26	for	ADP	26	case
27	arthritis	NOUN	24	obl
28	.	PUNCT	2	punct