Parsing text stripped from PDF

[serendipitytech]

I'm working on a project to analyze budgets from a city, the records come from a public records request, but they sen them in basically PDF printouts of their system, I've found a useful thread here for converting PDF to plain text, and I end up with horrible formatted text, some lines like this:

001 311000 AD VALOREM TAXES                            .00             .00             .00  -12,320,998.80  -12,097,422.00

I need to break this into 9 columns. The last 5 columns are the numbers, of course, some lines are missing data, so they end up with 4 lines maybe. 

The problem I'm running into is trying to break the columns, I figure, I could pretty much use a "space" delimiter and get pretty darn close, except for that 3rd column of text, in the case above  AD VALOREM TAXES

So, I'm trying to see if I can maybe use REGEX to wrap all words in quotes, so I'd have "AD VALOREM TAXES" as a result, but I'm not hitting on the expression that does this, I can isolate characters, but I'm missing how to catch all the words and spaces between them. 

Of course, any other ideas on how I can best parse this data would be great. This is more of a personal project, just getting involved in the local city government :)

I'm attaching the txt version of the PDF as well if it helps.

[serendipitytech]

I think I found the regex I needed, wanted to share with others, this seems to match complete strings of words including special characters like - and & that are found in these strings. I did restrict to all uppercase as that seems to be fine here. 

(\b[A-Z]+(.)+[A-\Z]\b)

Then using the replace of 

"$1"

I think I'm getting closer. Time to call it a night though. 

[SophiaF · Accepted solution]

Looks good - only thing I see missing is lines like this:

001 335122 8TH "CENT MOTOR FUEL USE TAX"                 .00             .00             .00     -570,924.76             .00

To capture the '8th', you could try:

(\b\d*[A-Z]+(.)+\d*[A-\Z]\b)

[serendipitytech]

That is a great catch Sophia! Thank you. I noticed a couple instances in the reports I've been trying to clean up still, and was not looking forward to going back to figure that out!

Super helpful, thanks so much!