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 name will move up the list geometrically so that when your name reaches the #1 position you will be receiving thousands of dollars in CASH!!!
Postion	Tokenization
1	Your
2	name
3	will
4	move
5	up
6	the
7	list
8	geometrically
9	so
10	that
11	when
12	your
13	name
14	reaches
15	the
16	#
17	1
18	position
19	you
20	will
21	be
22	receiving
23	thousands
24	of
25	dollars
26	in
27	CASH
28	!!!
Position	Tokenization	UPOS	Head	Deprel
1	Your	PRON	2	nmod:poss
2	name	NOUN	4	nsubj
3	will	AUX	4	aux
4	move	VERB	0	root
5	up	ADP	7	case
6	the	DET	7	det
7	list	NOUN	4	obl
8	geometrically	ADV	4	advmod
9	so	SCONJ	22	mark
10	that	SCONJ	9	fixed
11	when	SCONJ	14	mark
12	your	PRON	13	nmod:poss
13	name	NOUN	14	nsubj
14	reaches	VERB	22	advcl
15	the	DET	18	det
16	#	SYM	18	compound
17	1	NUM	16	nummod
18	position	NOUN	14	obj
19	you	PRON	22	nsubj
20	will	AUX	22	aux
21	be	AUX	22	aux
22	receiving	VERB	4	advcl
23	thousands	NOUN	22	obj
24	of	ADP	25	case
25	dollars	NOUN	23	nmod
26	in	ADP	27	case
27	CASH	NOUN	23	nmod
28	!!!	PUNCT	4	punct