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:
Greg Couch will be taking over the responsibility for the estate risk group and will be able to assist you with your requests going forward.
Postion	Tokenization
1	Greg
2	Couch
3	will
4	be
5	taking
6	over
7	the
8	responsibility
9	for
10	the
11	estate
12	risk
13	group
14	and
15	will
16	be
17	able
18	to
19	assist
20	you
21	with
22	your
23	requests
24	going
25	forward
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Greg	PROPN	5	nsubj
2	Couch	PROPN	1	flat
3	will	AUX	5	aux
4	be	AUX	5	aux
5	taking	VERB	0	root
6	over	ADP	5	compound:prt
7	the	DET	8	det
8	responsibility	NOUN	5	obj
9	for	ADP	13	case
10	the	DET	13	det
11	estate	NOUN	12	compound
12	risk	NOUN	13	compound
13	group	NOUN	8	nmod
14	and	CCONJ	17	cc
15	will	AUX	17	aux
16	be	AUX	17	cop
17	able	ADJ	5	conj
18	to	PART	19	mark
19	assist	VERB	17	xcomp
20	you	PRON	19	obj
21	with	ADP	23	case
22	your	PRON	23	nmod:poss
23	requests	NOUN	19	obl
24	going	VERB	17	advcl
25	forward	ADV	24	advmod
26	.	PUNCT	5	punct