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:
The thing to do is to bring the right clothing with you, clothes so you can layer up if it is cold and take off layers when it warms up.
Postion	Tokenization
1	The
2	thing
3	to
4	do
5	is
6	to
7	bring
8	the
9	right
10	clothing
11	with
12	you
13	,
14	clothes
15	so
16	you
17	can
18	layer
19	up
20	if
21	it
22	is
23	cold
24	and
25	take
26	off
27	layers
28	when
29	it
30	warms
31	up
32	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	thing	NOUN	5	nsubj
3	to	PART	4	mark
4	do	VERB	2	acl
5	is	VERB	0	root
6	to	PART	7	mark
7	bring	VERB	5	ccomp
8	the	DET	10	det
9	right	ADJ	10	amod
10	clothing	NOUN	7	obj
11	with	ADP	12	case
12	you	PRON	7	obl
13	,	PUNCT	7	punct
14	clothes	NOUN	10	appos
15	so	SCONJ	18	mark
16	you	PRON	18	nsubj
17	can	AUX	18	aux
18	layer	VERB	7	advcl
19	up	ADP	18	compound:prt
20	if	SCONJ	23	mark
21	it	PRON	23	nsubj
22	is	AUX	23	cop
23	cold	ADJ	18	advcl
24	and	CCONJ	25	cc
25	take	VERB	18	conj
26	off	ADP	25	compound:prt
27	layers	NOUN	25	obj
28	when	SCONJ	30	mark
29	it	PRON	30	nsubj
30	warms	VERB	25	advcl
31	up	ADP	30	compound:prt
32	.	PUNCT	5	punct