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 was feeling the need for some fish so I had the salmon which was very good but the steaks looked amazing and if I am in town again, I'll definitely order a steak.
Postion	Tokenization
1	I
2	was
3	feeling
4	the
5	need
6	for
7	some
8	fish
9	so
10	I
11	had
12	the
13	salmon
14	which
15	was
16	very
17	good
18	but
19	the
20	steaks
21	looked
22	amazing
23	and
24	if
25	I
26	am
27	in
28	town
29	again
30	,
31	I'll
32	I
33	'll
34	definitely
35	order
36	a
37	steak
38	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	was	AUX	3	aux
3	feeling	VERB	0	root
4	the	DET	5	det
5	need	NOUN	3	obj
6	for	ADP	8	case
7	some	DET	8	det
8	fish	NOUN	5	nmod
9	so	ADV	11	advmod
10	I	PRON	11	nsubj
11	had	VERB	3	parataxis
12	the	DET	13	det
13	salmon	NOUN	11	obj
14	which	PRON	17	nsubj
15	was	AUX	17	cop
16	very	ADV	17	advmod
17	good	ADJ	13	acl:relcl
18	but	CCONJ	21	cc
19	the	DET	20	det
20	steaks	NOUN	21	nsubj
21	looked	VERB	3	conj
22	amazing	ADJ	21	xcomp
23	and	CCONJ	34	cc
24	if	SCONJ	28	mark
25	I	PRON	28	nsubj
26	am	AUX	28	cop
27	in	ADP	28	case
28	town	NOUN	34	advcl
29	again	ADV	28	advmod
30	,	PUNCT	34	punct
31	I'll	_	None	_
32	I	PRON	34	nsubj
33	'll	AUX	34	aux
34	definitely	ADV	34	advmod
35	order	VERB	3	conj
36	a	DET	36	det
37	steak	NOUN	34	obj
38	.	PUNCT	3	punct