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:
Cons: * Server wasn't very pleasant * Pretty small portion on the blackened catfish * Overcooked food * Time, took about 25 minutes from ordering to eating.
Postion	Tokenization
1	Cons
2	:
3	*
4	Server
5	wasn't
6	was
7	n't
8	very
9	pleasant
10	*
11	Pretty
12	small
13	portion
14	on
15	the
16	blackened
17	catfish
18	*
19	Overcooked
20	food
21	*
22	Time
23	,
24	took
25	about
26	25
27	minutes
28	from
29	ordering
30	to
31	eating
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Cons	NOUN	0	root
2	:	PUNCT	1	punct
3	*	PUNCT	1	punct
4	Server	NOUN	8	nsubj
5	wasn't	_	None	_
6	was	AUX	8	cop
7	n't	PART	8	advmod
8	very	ADV	8	advmod
9	pleasant	ADJ	1	appos
10	*	PUNCT	19	punct
11	Pretty	ADV	11	advmod
12	small	ADJ	12	amod
13	portion	NOUN	8	conj
14	on	ADP	16	case
15	the	DET	16	det
16	blackened	VERB	16	amod
17	catfish	NOUN	12	nmod
18	*	PUNCT	19	punct
19	Overcooked	VERB	19	amod
20	food	NOUN	8	conj
21	*	PUNCT	19	punct
22	Time	NOUN	9	conj
23	,	PUNCT	21	punct
24	took	VERB	21	parataxis
25	about	ADV	26	advmod
26	25	NUM	26	nummod
27	minutes	NOUN	23	obj
28	from	ADP	28	case
29	ordering	NOUN	23	obl
30	to	ADP	30	case
31	eating	NOUN	28	nmod
32	.	PUNCT	1	punct