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:
It actually needs to be relatively waterproof - the last one I bought had me soaked in anything more than light/moderate rain.
Postion	Tokenization
1	It
2	actually
3	needs
4	to
5	be
6	relatively
7	waterproof
8	-
9	the
10	last
11	one
12	I
13	bought
14	had
15	me
16	soaked
17	in
18	anything
19	more
20	than
21	light
22	/
23	moderate
24	rain
25	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	3	nsubj
2	actually	ADV	3	advmod
3	needs	VERB	0	root
4	to	PART	7	mark
5	be	AUX	7	cop
6	relatively	ADV	7	advmod
7	waterproof	ADJ	3	xcomp
8	-	PUNCT	3	punct
9	the	DET	11	det
10	last	ADJ	11	amod
11	one	NUM	14	nsubj
12	I	PRON	13	nsubj
13	bought	VERB	11	acl:relcl
14	had	VERB	3	parataxis
15	me	PRON	16	obj
16	soaked	ADJ	14	xcomp
17	in	ADP	18	case
18	anything	PRON	16	obl
19	more	ADJ	18	amod
20	than	ADP	24	case
21	light	ADJ	24	amod
22	/	PUNCT	24	punct
23	moderate	ADJ	24	amod
24	rain	NOUN	19	obl
25	.	PUNCT	3	punct