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:
We had frosts in October so I wouldn't advise visiting late in the year to be honest, Spring time is your best bet.
Postion	Tokenization
1	We
2	had
3	frosts
4	in
5	October
6	so
7	I
8	wouldn't
9	would
10	n't
11	advise
12	visiting
13	late
14	in
15	the
16	year
17	to
18	be
19	honest
20	,
21	Spring
22	time
23	is
24	your
25	best
26	bet
27	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	had	VERB	0	root
3	frosts	NOUN	2	obj
4	in	ADP	5	case
5	October	PROPN	2	obl
6	so	ADV	10	advmod
7	I	PRON	10	nsubj
8	wouldn't	_	None	_
9	would	AUX	10	aux
10	n't	PART	10	advmod
11	advise	VERB	2	parataxis
12	visiting	VERB	10	xcomp
13	late	ADV	11	advmod
14	in	ADP	15	case
15	the	DET	15	det
16	year	NOUN	12	obl
17	to	PART	18	mark
18	be	AUX	18	cop
19	honest	ADJ	10	advcl
20	,	PUNCT	2	punct
21	Spring	NOUN	21	compound
22	time	NOUN	25	nsubj
23	is	AUX	25	cop
24	your	PRON	25	nmod:poss
25	best	ADJ	25	amod
26	bet	NOUN	2	parataxis
27	.	PUNCT	2	punct