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:
Beware of the nail program you are not taught to use a nail drill AT ALL you learn the old fashioned way of doing nails you will not be able to do well in a salon!!!
Postion	Tokenization
1	Beware
2	of
3	the
4	nail
5	program
6	you
7	are
8	not
9	taught
10	to
11	use
12	a
13	nail
14	drill
15	AT
16	ALL
17	you
18	learn
19	the
20	old
21	fashioned
22	way
23	of
24	doing
25	nails
26	you
27	will
28	not
29	be
30	able
31	to
32	do
33	well
34	in
35	a
36	salon
37	!!!
Position	Tokenization	UPOS	Head	Deprel
1	Beware	VERB	0	root
2	of	ADP	5	case
3	the	DET	5	det
4	nail	NOUN	5	compound
5	program	NOUN	1	obl
6	you	PRON	9	nsubj:pass
7	are	AUX	9	aux:pass
8	not	PART	9	advmod
9	taught	VERB	1	parataxis
10	to	PART	11	mark
11	use	VERB	9	xcomp
12	a	DET	14	det
13	nail	NOUN	14	compound
14	drill	NOUN	11	obj
15	AT	ADV	16	case
16	ALL	ADV	11	obl
17	you	PRON	18	nsubj
18	learn	VERB	1	parataxis
19	the	DET	22	det
20	old	ADJ	21	amod
21	fashioned	ADJ	22	amod
22	way	NOUN	18	obj
23	of	SCONJ	24	mark
24	doing	VERB	22	acl
25	nails	NOUN	24	obj
26	you	PRON	30	nsubj
27	will	AUX	30	aux
28	not	PART	30	advmod
29	be	AUX	30	cop
30	able	ADJ	1	parataxis
31	to	PART	32	mark
32	do	VERB	30	xcomp
33	well	ADV	32	advmod
34	in	ADP	36	case
35	a	DET	36	det
36	salon	NOUN	32	obl
37	!!!	PUNCT	1	punct