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 am sure this is a good place to stay from reading the other reviews, but if something unexpected happens in your life, they will not care.
Postion	Tokenization
1	I
2	am
3	sure
4	this
5	is
6	a
7	good
8	place
9	to
10	stay
11	from
12	reading
13	the
14	other
15	reviews
16	,
17	but
18	if
19	something
20	unexpected
21	happens
22	in
23	your
24	life
25	,
26	they
27	will
28	not
29	care
30	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	am	AUX	3	cop
3	sure	ADJ	0	root
4	this	PRON	8	nsubj
5	is	AUX	8	cop
6	a	DET	8	det
7	good	ADJ	8	amod
8	place	NOUN	3	ccomp
9	to	PART	10	mark
10	stay	VERB	8	acl
11	from	SCONJ	12	mark
12	reading	VERB	3	advcl
13	the	DET	15	det
14	other	ADJ	15	amod
15	reviews	NOUN	12	obj
16	,	PUNCT	29	punct
17	but	CCONJ	29	cc
18	if	SCONJ	21	mark
19	something	PRON	21	nsubj
20	unexpected	ADJ	19	amod
21	happens	VERB	29	advcl
22	in	ADP	24	case
23	your	PRON	24	nmod:poss
24	life	NOUN	21	obl
25	,	PUNCT	29	punct
26	they	PRON	29	nsubj
27	will	AUX	29	aux
28	not	PART	29	advmod
29	care	VERB	3	conj
30	.	PUNCT	3	punct