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:
A big rally then took the Dow (unconfirmed) to a record high of 1051 in January of '73, turning everyone bullish.
Postion	Tokenization
1	A
2	big
3	rally
4	then
5	took
6	the
7	Dow
8	(
9	unconfirmed
10	)
11	to
12	a
13	record
14	high
15	of
16	1051
17	in
18	January
19	of
20	'73
21	,
22	turning
23	everyone
24	bullish
25	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	big	ADJ	3	amod
3	rally	NOUN	5	nsubj
4	then	ADV	5	advmod
5	took	VERB	0	root
6	the	DET	7	det
7	Dow	PROPN	5	obj
8	(	PUNCT	9	punct
9	unconfirmed	ADJ	7	amod
10	)	PUNCT	9	punct
11	to	ADP	14	case
12	a	DET	14	det
13	record	ADJ	14	amod
14	high	NOUN	5	obl
15	of	ADP	16	case
16	1051	NUM	14	nmod
17	in	ADP	18	case
18	January	PROPN	5	obl
19	of	ADP	20	case
20	'73	NUM	18	nmod
21	,	PUNCT	5	punct
22	turning	VERB	5	advcl
23	everyone	PRON	22	obj
24	bullish	ADJ	22	xcomp
25	.	PUNCT	5	punct