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:
On my panel, Loretta Lynch asked Reliant and Duke to supply her with the details of the contracts they cut to sell their power forward to marketers.
Postion	Tokenization
1	On
2	my
3	panel
4	,
5	Loretta
6	Lynch
7	asked
8	Reliant
9	and
10	Duke
11	to
12	supply
13	her
14	with
15	the
16	details
17	of
18	the
19	contracts
20	they
21	cut
22	to
23	sell
24	their
25	power
26	forward
27	to
28	marketers
29	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	3	case
2	my	PRON	3	nmod:poss
3	panel	NOUN	7	obl
4	,	PUNCT	7	punct
5	Loretta	PROPN	7	nsubj
6	Lynch	PROPN	5	flat
7	asked	VERB	0	root
8	Reliant	PROPN	7	iobj
9	and	CCONJ	10	cc
10	Duke	PROPN	8	conj
11	to	PART	12	mark
12	supply	VERB	7	xcomp
13	her	PRON	12	obj
14	with	ADP	16	case
15	the	DET	16	det
16	details	NOUN	12	obl
17	of	ADP	19	case
18	the	DET	19	det
19	contracts	NOUN	16	nmod
20	they	PRON	21	nsubj
21	cut	VERB	19	acl:relcl
22	to	PART	23	mark
23	sell	VERB	21	advcl
24	their	PRON	25	nmod:poss
25	power	NOUN	23	obj
26	forward	ADV	23	advmod
27	to	ADP	28	case
28	marketers	NOUN	23	obl
29	.	PUNCT	7	punct