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:
We have started a new forum for an interactive and absorbing discussion on Astrology & Palmistry and everything in between including Gemology, Feng Shui/Vaastu Shastra.
Postion	Tokenization
1	We
2	have
3	started
4	a
5	new
6	forum
7	for
8	an
9	interactive
10	and
11	absorbing
12	discussion
13	on
14	Astrology
15	&
16	Palmistry
17	and
18	everything
19	in
20	between
21	including
22	Gemology
23	,
24	Feng
25	Shui
26	/
27	Vaastu
28	Shastra
29	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	have	AUX	3	aux
3	started	VERB	0	root
4	a	DET	6	det
5	new	ADJ	6	amod
6	forum	NOUN	3	obj
7	for	ADP	12	case
8	an	DET	12	det
9	interactive	ADJ	12	amod
10	and	CCONJ	11	cc
11	absorbing	ADJ	9	conj
12	discussion	NOUN	6	nmod
13	on	ADP	14	case
14	Astrology	NOUN	12	nmod
15	&	CCONJ	16	cc
16	Palmistry	NOUN	14	conj
17	and	CCONJ	18	cc
18	everything	PRON	14	conj
19	in	ADP	20	case
20	between	ADV	18	nmod
21	including	VERB	22	case
22	Gemology	NOUN	18	nmod
23	,	PUNCT	25	punct
24	Feng	NOUN	25	compound
25	Shui	NOUN	22	conj
26	/	SYM	28	cc
27	Vaastu	NOUN	28	compound
28	Shastra	NOUN	22	conj
29	.	PUNCT	3	punct