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:
When I called the manager to complain, she said she KNEW the guy didn't know about curtains and that the usual lady called in sick hours earlier!
Postion	Tokenization
1	When
2	I
3	called
4	the
5	manager
6	to
7	complain
8	,
9	she
10	said
11	she
12	KNEW
13	the
14	guy
15	didn't
16	did
17	n't
18	know
19	about
20	curtains
21	and
22	that
23	the
24	usual
25	lady
26	called
27	in
28	sick
29	hours
30	earlier
31	!
Position	Tokenization	UPOS	Head	Deprel
1	When	SCONJ	3	mark
2	I	PRON	3	nsubj
3	called	VERB	10	advcl
4	the	DET	5	det
5	manager	NOUN	3	obj
6	to	PART	7	mark
7	complain	VERB	3	advcl
8	,	PUNCT	10	punct
9	she	PRON	10	nsubj
10	said	VERB	0	root
11	she	PRON	12	nsubj
12	KNEW	VERB	10	ccomp
13	the	DET	14	det
14	guy	NOUN	17	nsubj
15	didn't	_	None	_
16	did	AUX	17	aux
17	n't	PART	17	advmod
18	know	VERB	12	ccomp
19	about	ADP	19	case
20	curtains	NOUN	17	obl
21	and	CCONJ	25	cc
22	that	SCONJ	25	mark
23	the	DET	24	det
24	usual	ADJ	24	amod
25	lady	NOUN	25	nsubj
26	called	VERB	12	conj
27	in	ADV	25	advmod
28	sick	ADJ	25	xcomp
29	hours	NOUN	25	obl:tmod
30	earlier	ADV	25	advmod
31	!	PUNCT	10	punct