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 had sonic in many other palces but for some reason this sonic is always just covered in grease and not good... :(
Postion	Tokenization
1	I
2	had
3	sonic
4	in
5	many
6	other
7	palces
8	but
9	for
10	some
11	reason
12	this
13	sonic
14	is
15	always
16	just
17	covered
18	in
19	grease
20	and
21	not
22	good
23	...
24	:(
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	had	VERB	0	root
3	sonic	PROPN	2	obj
4	in	ADP	7	case
5	many	ADJ	7	amod
6	other	ADJ	7	amod
7	palces	NOUN	2	obl
8	but	CCONJ	17	cc
9	for	ADP	11	case
10	some	DET	11	det
11	reason	NOUN	17	obl
12	this	DET	13	det
13	sonic	PROPN	17	nsubj
14	is	AUX	17	cop
15	always	ADV	17	advmod
16	just	ADV	17	advmod
17	covered	VERB	2	conj
18	in	ADP	19	case
19	grease	NOUN	17	obl
20	and	CCONJ	22	cc
21	not	ADV	22	advmod
22	good	ADJ	17	conj
23	...	PUNCT	2	punct
24	:(	SYM	2	conj