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 salads are limp and the rest of the food isn't any better (ok, the nachos are not too bad!)
Postion	Tokenization
1	The
2	salads
3	are
4	limp
5	and
6	the
7	rest
8	of
9	the
10	food
11	isn't
12	is
13	n't
14	any
15	better
16	(
17	ok
18	,
19	the
20	nachos
21	are
22	not
23	too
24	bad
25	!
26	)
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	salads	NOUN	4	nsubj
3	are	AUX	4	cop
4	limp	ADJ	0	root
5	and	CCONJ	14	cc
6	the	DET	7	det
7	rest	NOUN	14	nsubj
8	of	ADP	10	case
9	the	DET	10	det
10	food	NOUN	7	nmod
11	isn't	_	None	_
12	is	AUX	14	cop
13	n't	PART	14	advmod
14	any	ADV	14	advmod
15	better	ADJ	4	conj
16	(	PUNCT	4	punct
17	ok	INTJ	23	discourse
18	,	PUNCT	23	punct
19	the	DET	19	det
20	nachos	NOUN	23	nsubj
21	are	AUX	23	cop
22	not	PART	23	advmod
23	too	ADV	23	advmod
24	bad	ADJ	4	conj
25	!	PUNCT	4	punct
26	)	PUNCT	4	punct