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:
However, the money made from the mailing lists is secondary to income which is made from people like you and me asking to be included in that list.
Postion	Tokenization
1	However
2	,
3	the
4	money
5	made
6	from
7	the
8	mailing
9	lists
10	is
11	secondary
12	to
13	income
14	which
15	is
16	made
17	from
18	people
19	like
20	you
21	and
22	me
23	asking
24	to
25	be
26	included
27	in
28	that
29	list
30	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	11	advmod
2	,	PUNCT	11	punct
3	the	DET	4	det
4	money	NOUN	11	nsubj
5	made	VERB	4	acl
6	from	ADP	9	case
7	the	DET	9	det
8	mailing	NOUN	9	compound
9	lists	NOUN	5	obl
10	is	AUX	11	cop
11	secondary	ADJ	0	root
12	to	ADP	13	case
13	income	NOUN	11	obl
14	which	PRON	16	nsubj:pass
15	is	AUX	16	aux:pass
16	made	VERB	13	acl:relcl
17	from	SCONJ	23	mark
18	people	NOUN	23	nsubj
19	like	ADP	20	case
20	you	PRON	18	nmod
21	and	CCONJ	22	cc
22	me	PRON	20	conj
23	asking	VERB	16	advcl
24	to	PART	26	mark
25	be	AUX	26	aux:pass
26	included	VERB	23	xcomp
27	in	ADP	29	case
28	that	DET	29	det
29	list	NOUN	26	obl
30	.	PUNCT	11	punct