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 salatim salads are the smallest plates I've ever seen placed in front of me (you would most likely think they were condiments if it weren't explained to you).
Postion	Tokenization
1	The
2	salatim
3	salads
4	are
5	the
6	smallest
7	plates
8	I've
9	I
10	've
11	ever
12	seen
13	placed
14	in
15	front
16	of
17	me
18	(
19	you
20	would
21	most
22	likely
23	think
24	they
25	were
26	condiments
27	if
28	it
29	weren't
30	were
31	n't
32	explained
33	to
34	you
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	salatim	NOUN	3	compound
3	salads	NOUN	7	nsubj
4	are	AUX	7	cop
5	the	DET	7	det
6	smallest	ADJ	7	amod
7	plates	NOUN	0	root
8	I've	_	None	_
9	I	PRON	11	nsubj
10	've	AUX	11	aux
11	ever	ADV	11	advmod
12	seen	VERB	7	acl:relcl
13	placed	VERB	11	xcomp
14	in	ADP	14	case
15	front	NOUN	12	obl
16	of	ADP	16	case
17	me	PRON	14	nmod
18	(	PUNCT	22	punct
19	you	PRON	22	nsubj
20	would	AUX	22	aux
21	most	ADV	21	advmod
22	likely	ADV	22	advmod
23	think	VERB	7	parataxis
24	they	PRON	25	nsubj
25	were	AUX	25	cop
26	condiments	NOUN	22	ccomp
27	if	SCONJ	30	mark
28	it	PRON	30	nsubj:pass
29	weren't	_	None	_
30	were	AUX	30	aux:pass
31	n't	PART	30	advmod
32	explained	VERB	22	advcl
33	to	ADP	32	case
34	you	PRON	30	obl
35	)	PUNCT	22	punct
36	.	PUNCT	7	punct