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:
First of all, if you call for an appointment they won't tell you to call back a month later so you can then make one.
Postion	Tokenization
1	First
2	of
3	all
4	,
5	if
6	you
7	call
8	for
9	an
10	appointment
11	they
12	won't
13	wo
14	n't
15	tell
16	you
17	to
18	call
19	back
20	a
21	month
22	later
23	so
24	you
25	can
26	then
27	make
28	one
29	.
Position	Tokenization	UPOS	Head	Deprel
1	First	ADV	14	advmod
2	of	ADP	3	case
3	all	DET	1	obl
4	,	PUNCT	14	punct
5	if	SCONJ	7	mark
6	you	PRON	7	nsubj
7	call	VERB	14	advcl
8	for	ADP	10	case
9	an	DET	10	det
10	appointment	NOUN	7	obl
11	they	PRON	14	nsubj
12	won't	_	None	_
13	wo	AUX	14	aux
14	n't	PART	14	advmod
15	tell	VERB	0	root
16	you	PRON	14	iobj
17	to	PART	17	mark
18	call	VERB	14	xcomp
19	back	ADV	17	advmod
20	a	DET	20	det
21	month	NOUN	21	obl:npmod
22	later	ADV	17	advmod
23	so	SCONJ	26	mark
24	you	PRON	26	nsubj
25	can	AUX	26	aux
26	then	ADV	26	advmod
27	make	VERB	17	advcl
28	one	NUM	26	obj
29	.	PUNCT	14	punct