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:
In 1972, Baba Groom was a smart, funny young woman smack-dab in the middle of an exciting US Senate campaign.
Postion	Tokenization
1	In
2	1972
3	,
4	Baba
5	Groom
6	was
7	a
8	smart
9	,
10	funny
11	young
12	woman
13	smack
14	-
15	dab
16	in
17	the
18	middle
19	of
20	an
21	exciting
22	US
23	Senate
24	campaign
25	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	2	case
2	1972	NUM	12	obl
3	,	PUNCT	12	punct
4	Baba	PROPN	12	nsubj
5	Groom	PROPN	4	flat
6	was	AUX	12	cop
7	a	DET	12	det
8	smart	ADJ	12	amod
9	,	PUNCT	12	punct
10	funny	ADJ	12	amod
11	young	ADJ	12	amod
12	woman	NOUN	0	root
13	smack	ADV	15	advmod
14	-	PUNCT	15	punct
15	dab	ADV	18	advmod
16	in	ADP	18	case
17	the	DET	18	det
18	middle	NOUN	12	nmod
19	of	ADP	24	case
20	an	DET	24	det
21	exciting	ADJ	24	amod
22	US	PROPN	23	compound
23	Senate	PROPN	24	compound
24	campaign	NOUN	18	nmod
25	.	PUNCT	12	punct