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 duck was a 65% glob of chewy fat with no resemblance to the juicy, crispy delicacy it usually represents at other establishments.
Postion	Tokenization
1	The
2	duck
3	was
4	a
5	65
6	%
7	glob
8	of
9	chewy
10	fat
11	with
12	no
13	resemblance
14	to
15	the
16	juicy
17	,
18	crispy
19	delicacy
20	it
21	usually
22	represents
23	at
24	other
25	establishments
26	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	duck	NOUN	7	nsubj
3	was	AUX	7	cop
4	a	DET	7	det
5	65	NUM	6	nummod
6	%	SYM	7	compound
7	glob	NOUN	0	root
8	of	ADP	10	case
9	chewy	ADJ	10	amod
10	fat	NOUN	7	nmod
11	with	ADP	13	case
12	no	DET	13	det
13	resemblance	NOUN	7	nmod
14	to	ADP	19	case
15	the	DET	19	det
16	juicy	ADJ	19	amod
17	,	PUNCT	19	punct
18	crispy	ADJ	19	amod
19	delicacy	NOUN	13	nmod
20	it	PRON	22	nsubj
21	usually	ADV	22	advmod
22	represents	VERB	19	acl:relcl
23	at	ADP	25	case
24	other	ADJ	25	amod
25	establishments	NOUN	22	obl
26	.	PUNCT	7	punct