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:
Five minutes before my initial lesson, I got a call from Gerry advising me of his arrival and to come down as soon as I was ready.
Postion	Tokenization
1	Five
2	minutes
3	before
4	my
5	initial
6	lesson
7	,
8	I
9	got
10	a
11	call
12	from
13	Gerry
14	advising
15	me
16	of
17	his
18	arrival
19	and
20	to
21	come
22	down
23	as
24	soon
25	as
26	I
27	was
28	ready
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Five	NUM	2	nummod
2	minutes	NOUN	6	nmod:npmod
3	before	ADP	6	case
4	my	PRON	6	nmod:poss
5	initial	ADJ	6	amod
6	lesson	NOUN	9	obl
7	,	PUNCT	9	punct
8	I	PRON	9	nsubj
9	got	VERB	0	root
10	a	DET	11	det
11	call	NOUN	9	obj
12	from	ADP	13	case
13	Gerry	PROPN	11	nmod
14	advising	VERB	11	acl
15	me	PRON	14	obj
16	of	ADP	18	case
17	his	PRON	18	nmod:poss
18	arrival	NOUN	14	obl
19	and	CCONJ	21	cc
20	to	PART	21	mark
21	come	VERB	14	conj
22	down	ADV	21	advmod
23	as	ADV	24	advmod
24	soon	ADV	21	advmod
25	as	SCONJ	28	mark
26	I	PRON	28	nsubj
27	was	AUX	28	cop
28	ready	ADJ	23	advmod
29	.	PUNCT	9	punct