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:
changing its surroundings too often will stress it out and it will get depressed, mean, sick, or will not want to be around you.
Postion	Tokenization
1	changing
2	its
3	surroundings
4	too
5	often
6	will
7	stress
8	it
9	out
10	and
11	it
12	will
13	get
14	depressed
15	,
16	mean
17	,
18	sick
19	,
20	or
21	will
22	not
23	want
24	to
25	be
26	around
27	you
28	.
Position	Tokenization	UPOS	Head	Deprel
1	changing	VERB	7	csubj
2	its	PRON	3	nmod:poss
3	surroundings	NOUN	1	obj
4	too	ADV	5	advmod
5	often	ADV	1	advmod
6	will	AUX	7	aux
7	stress	VERB	0	root
8	it	PRON	7	obj
9	out	ADP	7	compound:prt
10	and	CCONJ	13	cc
11	it	PRON	18	nsubj
12	will	AUX	18	aux
13	get	VERB	7	conj
14	depressed	ADJ	13	amod
15	,	PUNCT	16	punct
16	mean	ADJ	14	conj
17	,	PUNCT	18	punct
18	sick	ADJ	14	conj
19	,	PUNCT	23	punct
20	or	CCONJ	23	cc
21	will	AUX	23	aux
22	not	PART	23	advmod
23	want	VERB	13	conj
24	to	PART	27	mark
25	be	AUX	27	cop
26	around	ADP	27	case
27	you	PRON	23	xcomp
28	.	PUNCT	7	punct