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:
Your cycle of learning through the school of hard knocks has come to an end, Gemini, and now you're going to start reaping the rewards these "lessons" have left in their wake.
Postion	Tokenization
1	Your
2	cycle
3	of
4	learning
5	through
6	the
7	school
8	of
9	hard
10	knocks
11	has
12	come
13	to
14	an
15	end
16	,
17	Gemini
18	,
19	and
20	now
21	you're
22	you
23	're
24	going
25	to
26	start
27	reaping
28	the
29	rewards
30	these
31	"
32	lessons
33	"
34	have
35	left
36	in
37	their
38	wake
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Your	PRON	2	nmod:poss
2	cycle	NOUN	12	nsubj
3	of	SCONJ	4	mark
4	learning	VERB	2	acl
5	through	ADP	7	case
6	the	DET	7	det
7	school	NOUN	4	obl
8	of	ADP	10	case
9	hard	ADJ	10	amod
10	knocks	NOUN	7	nmod
11	has	AUX	12	aux
12	come	VERB	0	root
13	to	ADP	15	case
14	an	DET	15	det
15	end	NOUN	12	obl
16	,	PUNCT	12	punct
17	Gemini	PROPN	12	vocative
18	,	PUNCT	23	punct
19	and	CCONJ	23	cc
20	now	ADV	23	advmod
21	you're	_	None	_
22	you	PRON	23	nsubj
23	're	AUX	23	aux
24	going	VERB	12	conj
25	to	PART	25	mark
26	start	VERB	23	xcomp
27	reaping	VERB	25	xcomp
28	the	DET	28	det
29	rewards	NOUN	26	obj
30	these	DET	31	det
31	"	PUNCT	31	punct
32	lessons	NOUN	34	nsubj
33	"	PUNCT	31	punct
34	have	AUX	34	aux
35	left	VERB	28	acl:relcl
36	in	ADP	37	case
37	their	PRON	37	nmod:poss
38	wake	NOUN	34	obl
39	.	PUNCT	12	punct