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:
I don't know where this stands officially (I haven't heard any developments since Amsterdam) but I can find out from Bob Pickle if you want.
Postion	Tokenization
1	I
2	don't
3	do
4	n't
5	know
6	where
7	this
8	stands
9	officially
10	(
11	I
12	haven't
13	have
14	n't
15	heard
16	any
17	developments
18	since
19	Amsterdam
20	)
21	but
22	I
23	can
24	find
25	out
26	from
27	Bob
28	Pickle
29	if
30	you
31	want
32	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	don't	_	None	_
3	do	AUX	4	aux
4	n't	PART	4	advmod
5	know	VERB	0	root
6	where	SCONJ	7	mark
7	this	PRON	7	nsubj
8	stands	VERB	4	ccomp
9	officially	ADV	7	advmod
10	(	PUNCT	13	punct
11	I	PRON	13	nsubj
12	haven't	_	None	_
13	have	AUX	13	aux
14	n't	PART	13	advmod
15	heard	VERB	4	parataxis
16	any	DET	15	det
17	developments	NOUN	13	obj
18	since	ADP	17	case
19	Amsterdam	PROPN	13	obl
20	)	PUNCT	13	punct
21	but	CCONJ	22	cc
22	I	PRON	22	nsubj
23	can	AUX	22	aux
24	find	VERB	4	conj
25	out	ADP	22	compound:prt
26	from	ADP	25	case
27	Bob	PROPN	22	obl
28	Pickle	PROPN	25	flat
29	if	SCONJ	29	mark
30	you	PRON	29	nsubj
31	want	VERB	22	advcl
32	.	PUNCT	4	punct