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:
There is one place in Alabama where Mr. Bush was present nearly every day: the headquarters in Montgomery of US Senate candidate Winton "Red" Blount.
Postion	Tokenization
1	There
2	is
3	one
4	place
5	in
6	Alabama
7	where
8	Mr.
9	Bush
10	was
11	present
12	nearly
13	every
14	day
15	:
16	the
17	headquarters
18	in
19	Montgomery
20	of
21	US
22	Senate
23	candidate
24	Winton
25	"
26	Red
27	"
28	Blount
29	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	is	VERB	0	root
3	one	NUM	4	nummod
4	place	NOUN	2	nsubj
5	in	ADP	6	case
6	Alabama	PROPN	4	nmod
7	where	SCONJ	11	mark
8	Mr.	PROPN	11	nsubj
9	Bush	PROPN	8	flat
10	was	AUX	11	cop
11	present	ADJ	6	acl:relcl
12	nearly	ADV	14	advmod
13	every	ADV	14	advmod
14	day	NOUN	11	obl:tmod
15	:	PUNCT	4	punct
16	the	DET	17	det
17	headquarters	NOUN	4	appos
18	in	ADP	19	case
19	Montgomery	PROPN	17	nmod
20	of	ADP	23	case
21	US	PROPN	22	compound
22	Senate	PROPN	23	compound
23	candidate	NOUN	17	nmod
24	Winton	PROPN	23	flat
25	"	PUNCT	26	punct
26	Red	PROPN	23	flat
27	"	PUNCT	26	punct
28	Blount	PROPN	23	flat
29	.	PUNCT	2	punct