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:
Any good poses or programs (I'm willing to buy a dvd as long as it is under $20) to help specifically with leg stabilization?
Postion	Tokenization
1	Any
2	good
3	poses
4	or
5	programs
6	(
7	I
8	'm
9	willing
10	to
11	buy
12	a
13	dvd
14	as
15	long
16	as
17	it
18	is
19	under
20	$
21	20
22	)
23	to
24	help
25	specifically
26	with
27	leg
28	stabilization
29	?
Position	Tokenization	UPOS	Head	Deprel
1	Any	DET	3	det
2	good	ADJ	3	amod
3	poses	NOUN	0	root
4	or	CCONJ	5	cc
5	programs	NOUN	3	conj
6	(	PUNCT	9	punct
7	I	PRON	9	nsubj
8	'm	AUX	9	cop
9	willing	ADJ	3	parataxis
10	to	PART	11	mark
11	buy	VERB	9	xcomp
12	a	DET	13	det
13	dvd	NOUN	11	obj
14	as	ADV	15	advmod
15	long	ADV	9	advmod
16	as	SCONJ	20	mark
17	it	PRON	20	nsubj
18	is	AUX	20	cop
19	under	ADP	20	case
20	$	SYM	15	advcl
21	20	NUM	20	nummod
22	)	PUNCT	9	punct
23	to	PART	24	mark
24	help	VERB	3	acl
25	specifically	ADV	24	advmod
26	with	ADP	28	case
27	leg	NOUN	28	compound
28	stabilization	NOUN	24	obl
29	?	PUNCT	3	punct