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:
After discussions with the commercial group I propose that that redlined language be added to the attached Dynegy agreement and to the 4 other negotiated rate agreements we've done.
Postion	Tokenization
1	After
2	discussions
3	with
4	the
5	commercial
6	group
7	I
8	propose
9	that
10	that
11	redlined
12	language
13	be
14	added
15	to
16	the
17	attached
18	Dynegy
19	agreement
20	and
21	to
22	the
23	4
24	other
25	negotiated
26	rate
27	agreements
28	we've
29	we
30	've
31	done
32	.
Position	Tokenization	UPOS	Head	Deprel
1	After	ADP	2	case
2	discussions	NOUN	8	obl
3	with	ADP	6	case
4	the	DET	6	det
5	commercial	ADJ	6	amod
6	group	NOUN	2	nmod
7	I	PRON	8	nsubj
8	propose	VERB	0	root
9	that	SCONJ	14	mark
10	that	DET	12	det
11	redlined	ADJ	12	amod
12	language	NOUN	14	nsubj:pass
13	be	AUX	14	aux:pass
14	added	VERB	8	ccomp
15	to	ADP	19	case
16	the	DET	19	det
17	attached	VERB	19	amod
18	Dynegy	PROPN	19	compound
19	agreement	NOUN	14	obl
20	and	CCONJ	27	cc
21	to	ADP	27	case
22	the	DET	27	det
23	4	NUM	27	nummod
24	other	ADJ	27	amod
25	negotiated	VERB	26	amod
26	rate	NOUN	27	compound
27	agreements	NOUN	19	conj
28	we've	_	None	_
29	we	PRON	30	nsubj
30	've	AUX	30	aux
31	done	VERB	27	acl:relcl
32	.	PUNCT	8	punct