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 feel like shit for saying that but after what they have done already i wont be buying grocerys for the next few weeks.
Postion	Tokenization
1	I
2	feel
3	like
4	shit
5	for
6	saying
7	that
8	but
9	after
10	what
11	they
12	have
13	done
14	already
15	i
16	wont
17	wo
18	nt
19	be
20	buying
21	grocerys
22	for
23	the
24	next
25	few
26	weeks
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	feel	VERB	0	root
3	like	ADP	4	case
4	shit	NOUN	2	obl
5	for	SCONJ	6	mark
6	saying	VERB	2	advcl
7	that	PRON	6	obj
8	but	CCONJ	19	cc
9	after	SCONJ	13	mark
10	what	PRON	13	obj
11	they	PRON	13	nsubj
12	have	AUX	13	aux
13	done	VERB	19	advcl
14	already	ADV	13	advmod
15	i	PRON	19	nsubj
16	wont	_	None	_
17	wo	AUX	19	aux
18	nt	PART	19	advmod
19	be	AUX	19	aux
20	buying	VERB	2	conj
21	grocerys	NOUN	19	obj
22	for	ADP	25	case
23	the	DET	25	det
24	next	ADJ	25	amod
25	few	ADJ	25	amod
26	weeks	NOUN	19	obl
27	.	PUNCT	2	punct