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:
Even if you buy a cake in a bakers you can not be too what happens in the kitchen, for example the cake may have been sliced using a knife used for preparing ham.
Postion	Tokenization
1	Even
2	if
3	you
4	buy
5	a
6	cake
7	in
8	a
9	bakers
10	baker
11	s
12	you
13	can
14	not
15	be
16	too
17	what
18	happens
19	in
20	the
21	kitchen
22	,
23	for
24	example
25	the
26	cake
27	may
28	have
29	been
30	sliced
31	using
32	a
33	knife
34	used
35	for
36	preparing
37	ham
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	4	advmod
2	if	SCONJ	4	mark
3	you	PRON	4	nsubj
4	buy	VERB	15	advcl
5	a	DET	6	det
6	cake	NOUN	4	obj
7	in	ADP	9	case
8	a	DET	9	det
9	bakers	_	None	_
10	baker	NOUN	4	obl
11	s	PART	9	case
12	you	PRON	15	nsubj
13	can	AUX	15	aux
14	not	PART	15	advmod
15	be	AUX	15	cop
16	too	ADV	0	root
17	what	PRON	17	nsubj
18	happens	VERB	15	ccomp
19	in	ADP	20	case
20	the	DET	20	det
21	kitchen	NOUN	17	obl
22	,	PUNCT	29	punct
23	for	ADP	23	case
24	example	NOUN	29	obl
25	the	DET	25	det
26	cake	NOUN	29	nsubj:pass
27	may	AUX	29	aux
28	have	AUX	29	aux
29	been	AUX	29	aux:pass
30	sliced	VERB	15	parataxis
31	using	VERB	29	advcl
32	a	DET	32	det
33	knife	NOUN	30	obj
34	used	VERB	32	acl
35	for	SCONJ	35	mark
36	preparing	VERB	33	advcl
37	ham	NOUN	35	obj
38	.	PUNCT	15	punct