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:
The pizza is usually pretty good, the only bad one we got was on a Friday night and it just needed to be cooked a little more, but it was still good.
Postion	Tokenization
1	The
2	pizza
3	is
4	usually
5	pretty
6	good
7	,
8	the
9	only
10	bad
11	one
12	we
13	got
14	was
15	on
16	a
17	Friday
18	night
19	and
20	it
21	just
22	needed
23	to
24	be
25	cooked
26	a
27	little
28	more
29	,
30	but
31	it
32	was
33	still
34	good
35	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	pizza	NOUN	6	nsubj
3	is	AUX	6	cop
4	usually	ADV	6	advmod
5	pretty	ADV	6	advmod
6	good	ADJ	0	root
7	,	PUNCT	6	punct
8	the	DET	11	det
9	only	ADJ	11	amod
10	bad	ADJ	11	amod
11	one	NOUN	18	nsubj
12	we	PRON	13	nsubj
13	got	VERB	11	acl:relcl
14	was	AUX	18	cop
15	on	ADP	18	case
16	a	DET	18	det
17	Friday	PROPN	18	compound
18	night	NOUN	6	parataxis
19	and	CCONJ	22	cc
20	it	PRON	22	nsubj
21	just	ADV	22	advmod
22	needed	VERB	18	conj
23	to	PART	25	mark
24	be	AUX	25	aux:pass
25	cooked	VERB	22	xcomp
26	a	DET	27	det
27	little	ADJ	28	obl:npmod
28	more	ADV	25	advmod
29	,	PUNCT	34	punct
30	but	CCONJ	34	cc
31	it	PRON	34	nsubj
32	was	AUX	34	cop
33	still	ADV	34	advmod
34	good	ADJ	18	conj
35	.	PUNCT	6	punct