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:
Following up on your and Ken Lay's conversation with Gary Cohn, I would like to forward the following proposal, acting for each of Goldman Sachs Capital Markets and J.Aron.
Postion	Tokenization
1	Following
2	up
3	on
4	your
5	and
6	Ken
7	Lay's
8	Lay
9	's
10	conversation
11	with
12	Gary
13	Cohn
14	,
15	I
16	would
17	like
18	to
19	forward
20	the
21	following
22	proposal
23	,
24	acting
25	for
26	each
27	of
28	Goldman
29	Sachs
30	Capital
31	Markets
32	and
33	J.
34	Aron
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Following	VERB	16	advcl
2	up	ADP	1	compound:prt
3	on	ADP	9	case
4	your	PRON	9	nmod:poss
5	and	CCONJ	6	cc
6	Ken	PROPN	4	conj
7	Lay's	_	None	_
8	Lay	PROPN	6	flat
9	's	PART	6	case
10	conversation	NOUN	1	obl
11	with	ADP	11	case
12	Gary	PROPN	9	nmod
13	Cohn	PROPN	11	flat
14	,	PUNCT	16	punct
15	I	PRON	16	nsubj
16	would	AUX	16	aux
17	like	VERB	0	root
18	to	PART	18	mark
19	forward	VERB	16	xcomp
20	the	DET	21	det
21	following	VERB	21	amod
22	proposal	NOUN	18	obj
23	,	PUNCT	18	punct
24	acting	VERB	18	advcl
25	for	ADP	25	case
26	each	DET	23	obl
27	of	ADP	30	case
28	Goldman	PROPN	28	compound
29	Sachs	PROPN	30	compound
30	Capital	PROPN	30	compound
31	Markets	PROPN	25	nmod
32	and	CCONJ	32	cc
33	J.	PROPN	30	conj
34	Aron	PROPN	32	flat
35	.	PUNCT	16	punct