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:
Got the crab rangoon which was great, tofu with cabbage which was spicy but good and shrimp satay which was also good.
Postion	Tokenization
1	Got
2	the
3	crab
4	rangoon
5	which
6	was
7	great
8	,
9	tofu
10	with
11	cabbage
12	which
13	was
14	spicy
15	but
16	good
17	and
18	shrimp
19	satay
20	which
21	was
22	also
23	good
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Got	VERB	0	root
2	the	DET	4	det
3	crab	NOUN	4	compound
4	rangoon	NOUN	1	obj
5	which	PRON	7	nsubj
6	was	AUX	7	cop
7	great	ADJ	4	acl:relcl
8	,	PUNCT	9	punct
9	tofu	NOUN	4	conj
10	with	ADP	11	case
11	cabbage	NOUN	9	nmod
12	which	PRON	14	nsubj
13	was	AUX	14	cop
14	spicy	ADJ	9	acl:relcl
15	but	CCONJ	16	cc
16	good	ADJ	14	conj
17	and	CCONJ	19	cc
18	shrimp	NOUN	19	compound
19	satay	NOUN	4	conj
20	which	PRON	23	nsubj
21	was	AUX	23	cop
22	also	ADV	23	advmod
23	good	ADJ	19	acl:relcl
24	.	PUNCT	1	punct