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:
STEP TWO:Now take the #1 name off the list that you see above, move the other names up (six becomes 5, 5 becomes 4, and etc.) and add YOUR NAME as number 6 on the list.
Postion	Tokenization
1	STEP
2	TWO
3	:
4	Now
5	take
6	the
7	#
8	1
9	name
10	off
11	the
12	list
13	that
14	you
15	see
16	above
17	,
18	move
19	the
20	other
21	names
22	up
23	(
24	six
25	becomes
26	5
27	,
28	5
29	becomes
30	4
31	,
32	and
33	etc.
34	)
35	and
36	add
37	YOUR
38	NAME
39	as
40	number
41	6
42	on
43	the
44	list
45	.
Position	Tokenization	UPOS	Head	Deprel
1	STEP	NOUN	0	root
2	TWO	NUM	1	nummod
3	:	PUNCT	1	punct
4	Now	ADV	5	advmod
5	take	VERB	1	appos
6	the	DET	9	det
7	#	SYM	9	compound
8	1	NUM	7	nummod
9	name	NOUN	5	obj
10	off	ADP	12	case
11	the	DET	12	det
12	list	NOUN	5	obl
13	that	PRON	15	obj
14	you	PRON	15	nsubj
15	see	VERB	12	acl:relcl
16	above	ADV	15	advmod
17	,	PUNCT	18	punct
18	move	VERB	5	conj
19	the	DET	21	det
20	other	ADJ	21	amod
21	names	NOUN	18	obj
22	up	ADV	18	advmod
23	(	PUNCT	26	punct
24	six	NUM	25	nsubj
25	becomes	VERB	18	appos
26	5	NUM	25	xcomp
27	,	PUNCT	29	punct
28	5	NUM	29	nsubj
29	becomes	VERB	26	conj
30	4	NUM	29	xcomp
31	,	PUNCT	33	punct
32	and	CCONJ	33	cc
33	etc.	X	26	conj
34	)	PUNCT	26	punct
35	and	CCONJ	36	cc
36	add	VERB	5	conj
37	YOUR	PRON	38	nmod:poss
38	NAME	NOUN	36	obj
39	as	ADP	40	case
40	number	NOUN	36	obl
41	6	NUM	40	nummod
42	on	ADP	44	case
43	the	DET	44	det
44	list	NOUN	40	nmod
45	.	PUNCT	1	punct