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:
Not the smartest move to take off on a worldly adventure if you've never traveled before and you don't put where you would be traveling from.
Postion	Tokenization
1	Not
2	the
3	smartest
4	move
5	to
6	take
7	off
8	on
9	a
10	worldly
11	adventure
12	if
13	you've
14	you
15	've
16	never
17	traveled
18	before
19	and
20	you
21	don't
22	do
23	n't
24	put
25	where
26	you
27	would
28	be
29	traveling
30	from
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Not	PART	4	advmod
2	the	DET	4	det
3	smartest	ADJ	4	amod
4	move	NOUN	0	root
5	to	PART	6	mark
6	take	VERB	4	csubj
7	off	ADP	6	compound:prt
8	on	ADP	11	case
9	a	DET	11	det
10	worldly	ADJ	11	amod
11	adventure	NOUN	6	obl
12	if	SCONJ	16	mark
13	you've	_	None	_
14	you	PRON	16	nsubj
15	've	AUX	16	aux
16	never	ADV	16	advmod
17	traveled	VERB	6	advcl
18	before	ADV	16	advmod
19	and	CCONJ	22	cc
20	you	PRON	22	nsubj
21	don't	_	None	_
22	do	AUX	22	aux
23	n't	PART	22	advmod
24	put	VERB	16	conj
25	where	SCONJ	27	mark
26	you	PRON	27	nsubj
27	would	AUX	27	aux
28	be	AUX	27	aux
29	traveling	VERB	22	advcl
30	from	ADP	27	obl
31	.	PUNCT	1	punct