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 text: I'm the author of three books (including the 1.3 million seller ALTERNATIVE CURES) and hundreds of magazine articles, and worked for 20 years at Rodale Press, as a writer and as editor-in-chief of Prevention and Rodale Books.
Position	Tokenization	UPOS	Head	Deprel
1	I'm	_	None	_
2	I	PRON	4	nsubj
3	'm	AUX	4	cop
4	the	DET	4	det
5	author	NOUN	0	root
6	of	ADP	7	case
7	three	NUM	7	nummod
8	books	NOUN	4	nmod
9	(	PUNCT	13	punct
10	including	VERB	13	case
11	the	DET	13	det
12	1.3	NUM	12	compound
13	million	NUM	13	nummod
14	seller	NOUN	7	nmod
15	ALTERNATIVE	PROPN	15	compound
16	CURES	PROPN	13	appos
17	)	PUNCT	13	punct
18	and	CCONJ	18	cc
19	hundreds	NOUN	7	conj
20	of	ADP	21	case
21	magazine	NOUN	21	compound
22	articles	NOUN	18	nmod
23	,	PUNCT	24	punct
24	and	CCONJ	24	cc
25	worked	VERB	4	conj
26	for	ADP	27	case
27	20	NUM	27	nummod
28	years	NOUN	24	obl
29	at	ADP	30	case
30	Rodale	PROPN	30	compound
31	Press	PROPN	24	obl
32	,	PUNCT	24	punct
33	as	ADP	34	case
34	a	DET	34	det
35	writer	NOUN	24	obl
36	and	CCONJ	37	cc
37	as	ADP	37	case
38	editor	NOUN	34	conj
39	-	PUNCT	37	punct
40	in	ADP	41	case
41	-	PUNCT	41	punct
42	chief	ADJ	37	nmod
43	of	ADP	43	case
44	Prevention	PROPN	37	nmod
45	and	CCONJ	46	cc
46	Rodale	PROPN	46	compound
47	Books	PROPN	43	conj
48	.	PUNCT	4	punct