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:
Kathy McMahon suggested that I contact you in an effort to gather information on: Enron's Affirmative Action Policy and plans; as well as demographic analysis of workforce (gender, age, ethnic origin, nationality)
Postion	Tokenization
1	Kathy
2	McMahon
3	suggested
4	that
5	I
6	contact
7	you
8	in
9	an
10	effort
11	to
12	gather
13	information
14	on
15	:
16	Enron's
17	Enron
18	's
19	Affirmative
20	Action
21	Policy
22	and
23	plans
24	;
25	as
26	well
27	as
28	demographic
29	analysis
30	of
31	workforce
32	(
33	gender
34	,
35	age
36	,
37	ethnic
38	origin
39	,
40	nationality
41	)
Position	Tokenization	UPOS	Head	Deprel
1	Kathy	PROPN	3	nsubj
2	McMahon	PROPN	1	flat
3	suggested	VERB	0	root
4	that	SCONJ	6	mark
5	I	PRON	6	nsubj
6	contact	VERB	3	ccomp
7	you	PRON	6	obj
8	in	ADP	10	case
9	an	DET	10	det
10	effort	NOUN	6	obl
11	to	PART	12	mark
12	gather	VERB	10	acl
13	information	NOUN	12	obj
14	on	ADP	20	case
15	:	PUNCT	20	punct
16	Enron's	_	None	_
17	Enron	PROPN	20	nmod:poss
18	's	PART	16	case
19	Affirmative	ADJ	19	amod
20	Action	NOUN	20	compound
21	Policy	NOUN	13	nmod
22	and	CCONJ	22	cc
23	plans	NOUN	20	conj
24	;	PUNCT	20	punct
25	as	ADV	28	cc
26	well	ADV	24	fixed
27	as	ADP	24	fixed
28	demographic	ADJ	28	amod
29	analysis	NOUN	20	conj
30	of	ADP	30	case
31	workforce	NOUN	28	nmod
32	(	PUNCT	28	punct
33	gender	NOUN	28	nmod:npmod
34	,	PUNCT	34	punct
35	age	NOUN	32	conj
36	,	PUNCT	37	punct
37	ethnic	ADJ	37	amod
38	origin	NOUN	32	conj
39	,	PUNCT	39	punct
40	nationality	NOUN	32	conj
41	)	PUNCT	28	punct