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:
In the winter, they will usually go deep underground and enter a hibernation-like state called brumation, which is characterized by a slowed metabolism and reduced activity.
Postion	Tokenization
1	In
2	the
3	winter
4	,
5	they
6	will
7	usually
8	go
9	deep
10	underground
11	and
12	enter
13	a
14	hibernation
15	-
16	like
17	state
18	called
19	brumation
20	,
21	which
22	is
23	characterized
24	by
25	a
26	slowed
27	metabolism
28	and
29	reduced
30	activity
31	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	3	case
2	the	DET	3	det
3	winter	NOUN	8	obl
4	,	PUNCT	8	punct
5	they	PRON	8	nsubj
6	will	AUX	8	aux
7	usually	ADV	8	advmod
8	go	VERB	0	root
9	deep	ADV	10	advmod
10	underground	ADV	8	advmod
11	and	CCONJ	12	cc
12	enter	VERB	8	conj
13	a	DET	17	det
14	hibernation	NOUN	16	obl:npmod
15	-	PUNCT	16	punct
16	like	ADJ	17	amod
17	state	NOUN	12	obj
18	called	VERB	17	acl
19	brumation	NOUN	18	xcomp
20	,	PUNCT	19	punct
21	which	PRON	23	nsubj:pass
22	is	AUX	23	aux:pass
23	characterized	VERB	19	acl:relcl
24	by	ADP	27	case
25	a	DET	27	det
26	slowed	ADJ	27	amod
27	metabolism	NOUN	23	obl
28	and	CCONJ	30	cc
29	reduced	VERB	30	amod
30	activity	NOUN	27	conj
31	.	PUNCT	8	punct