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:
Attached is a rough draft of my talking points for a panel I'll be on at a CEM conference in SF on Thursday afternoon.
Postion	Tokenization
1	Attached
2	is
3	a
4	rough
5	draft
6	of
7	my
8	talking
9	points
10	for
11	a
12	panel
13	I'll
14	I
15	'll
16	be
17	on
18	at
19	a
20	CEM
21	conference
22	in
23	SF
24	on
25	Thursday
26	afternoon
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Attached	VERB	0	root
2	is	AUX	1	aux:pass
3	a	DET	5	det
4	rough	ADJ	5	amod
5	draft	NOUN	1	nsubj:pass
6	of	ADP	9	case
7	my	PRON	9	nmod:poss
8	talking	NOUN	9	compound
9	points	NOUN	5	nmod
10	for	ADP	12	case
11	a	DET	12	det
12	panel	NOUN	9	nmod
13	I'll	_	None	_
14	I	PRON	16	nsubj
15	'll	AUX	16	aux
16	be	AUX	16	cop
17	on	ADP	12	acl:relcl
18	at	ADP	20	case
19	a	DET	20	det
20	CEM	PROPN	20	compound
21	conference	NOUN	16	obl
22	in	ADP	22	case
23	SF	PROPN	20	nmod
24	on	ADP	25	case
25	Thursday	PROPN	25	compound
26	afternoon	NOUN	20	nmod
27	.	PUNCT	1	punct