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:
To my surprise $20 deposit.... New movies not on shelf..under the counter for Telugu Speaking people only... or people who spend $30 or more groceries..
Postion	Tokenization
1	To
2	my
3	surprise
4	$
5	20
6	deposit
7	....
8	New
9	movies
10	not
11	on
12	shelf
13	..
14	under
15	the
16	counter
17	for
18	Telugu
19	Speaking
20	people
21	only
22	...
23	or
24	people
25	who
26	spend
27	$
28	30
29	or
30	more
31	groceries
32	..
Position	Tokenization	UPOS	Head	Deprel
1	To	ADP	3	case
2	my	PRON	3	nmod:poss
3	surprise	NOUN	6	nmod
4	$	SYM	6	compound
5	20	NUM	4	nummod
6	deposit	NOUN	0	root
7	....	PUNCT	6	punct
8	New	ADJ	9	amod
9	movies	NOUN	12	nsubj
10	not	ADV	12	advmod
11	on	ADP	12	case
12	shelf	NOUN	6	parataxis
13	..	PUNCT	6	punct
14	under	ADP	16	case
15	the	DET	16	det
16	counter	NOUN	6	parataxis
17	for	ADP	20	case
18	Telugu	PROPN	19	compound
19	Speaking	VERB	20	amod
20	people	NOUN	16	nmod
21	only	ADV	20	advmod
22	...	PUNCT	20	punct
23	or	CCONJ	24	cc
24	people	NOUN	20	conj
25	who	PRON	26	nsubj
26	spend	VERB	24	acl:relcl
27	$	SYM	26	obj
28	30	NUM	27	nummod
29	or	CCONJ	30	cc
30	more	ADJ	27	conj
31	groceries	NOUN	26	obl:npmod
32	..	PUNCT	6	punct