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:
I understand the imminent cold weather is making things crazy, so now may not be the best time to be in your way.
Postion	Tokenization
1	I
2	understand
3	the
4	imminent
5	cold
6	weather
7	is
8	making
9	things
10	crazy
11	,
12	so
13	now
14	may
15	not
16	be
17	the
18	best
19	time
20	to
21	be
22	in
23	your
24	way
25	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	understand	VERB	0	root
3	the	DET	6	det
4	imminent	ADJ	6	amod
5	cold	ADJ	6	amod
6	weather	NOUN	8	nsubj
7	is	AUX	8	aux
8	making	VERB	2	ccomp
9	things	NOUN	8	obj
10	crazy	ADJ	8	xcomp
11	,	PUNCT	13	punct
12	so	ADV	13	advmod
13	now	ADV	8	conj
14	may	AUX	13	aux
15	not	PART	13	advmod
16	be	AUX	13	cop
17	the	DET	19	det
18	best	ADJ	19	amod
19	time	NOUN	13	nsubj
20	to	PART	24	mark
21	be	AUX	24	cop
22	in	ADP	24	case
23	your	PRON	24	nmod:poss
24	way	NOUN	19	acl
25	.	PUNCT	2	punct