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:
At that time, the gurus and geniuses of Wall Street were predicting a 250 Dow and many were talking openly about the end of capitalism.
Postion	Tokenization
1	At
2	that
3	time
4	,
5	the
6	gurus
7	and
8	geniuses
9	of
10	Wall
11	Street
12	were
13	predicting
14	a
15	250
16	Dow
17	and
18	many
19	were
20	talking
21	openly
22	about
23	the
24	end
25	of
26	capitalism
27	.
Position	Tokenization	UPOS	Head	Deprel
1	At	ADP	3	case
2	that	DET	3	det
3	time	NOUN	13	obl
4	,	PUNCT	13	punct
5	the	DET	6	det
6	gurus	NOUN	13	nsubj
7	and	CCONJ	8	cc
8	geniuses	NOUN	6	conj
9	of	ADP	11	case
10	Wall	PROPN	11	compound
11	Street	PROPN	6	nmod
12	were	AUX	13	aux
13	predicting	VERB	0	root
14	a	DET	16	det
15	250	NUM	16	nummod
16	Dow	PROPN	13	obj
17	and	CCONJ	20	cc
18	many	ADJ	20	nsubj
19	were	AUX	20	aux
20	talking	VERB	13	conj
21	openly	ADV	20	advmod
22	about	ADP	24	case
23	the	DET	24	det
24	end	NOUN	20	obl
25	of	ADP	26	case
26	capitalism	NOUN	24	nmod
27	.	PUNCT	13	punct