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 honestly have no idea what to expect or prepare for and calling in to get professional advice from either of the embassies costs by the minute- which I really don't have the money for.
Postion	Tokenization
1	I
2	honestly
3	have
4	no
5	idea
6	what
7	to
8	expect
9	or
10	prepare
11	for
12	and
13	calling
14	in
15	to
16	get
17	professional
18	advice
19	from
20	either
21	of
22	the
23	embassies
24	costs
25	by
26	the
27	minute
28	-
29	which
30	I
31	really
32	don't
33	do
34	n't
35	have
36	the
37	money
38	for
39	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	honestly	ADV	3	advmod
3	have	VERB	0	root
4	no	DET	5	det
5	idea	NOUN	3	obj
6	what	PRON	8	nsubj
7	to	PART	8	mark
8	expect	VERB	5	acl
9	or	CCONJ	10	cc
10	prepare	VERB	8	conj
11	for	ADP	10	obl
12	and	CCONJ	24	cc
13	calling	VERB	24	csubj
14	in	ADV	13	advmod
15	to	PART	16	mark
16	get	VERB	13	advcl
17	professional	ADJ	18	amod
18	advice	NOUN	16	obj
19	from	ADP	20	case
20	either	DET	16	obl
21	of	ADP	23	case
22	the	DET	23	det
23	embassies	NOUN	20	nmod
24	costs	VERB	3	conj
25	by	ADP	27	case
26	the	DET	27	det
27	minute	NOUN	24	obl
28	-	PUNCT	24	punct
29	which	PRON	34	obj
30	I	PRON	34	nsubj
31	really	ADV	34	advmod
32	don't	_	None	_
33	do	AUX	34	aux
34	n't	PART	34	advmod
35	have	VERB	24	ccomp
36	the	DET	36	det
37	money	NOUN	34	obj
38	for	ADP	36	nmod
39	.	PUNCT	3	punct