There is a statistic called the Spearman rank correlation coefficient that measures the amount of agreement between two judges in a ranked list. Here is how it turned out for these data. (1.00 means perfect lock-step correlation, 0 means untterly random.)
UKR v. BLR = .99
UKR v. RUS = .85
UKR v. FRA = .76
UKR v. CAN = .62
UKR v. ITA = .52
UKR v. USA = .44
RUS v. BLR = .86
RUS v. UKR = .85
RUS v. FRA = .82
RUS v. CAN = .73
RUS v. USA = .73
RUS v. ITA = .54
BLR v. UKR = 99
BLR v. RUS = .86
BLR v. FRA = .77
BLR v. CAN = .58
BLR v. ITA = .54
BLR v. USA = .45
FRA v. RUS = .82
FRA v. CAN = .82
FRA v. BLR = .77
FRA v. UKR = .76
FRA v. ITA = .73
FRA v. USA = .71
ITA v. USA = .93
ITA v. CAN = .85
ITA v. FRA = .73
ITA v. RUS = .54
ITA v. BLR = .54
ITA v. UKR = .52
USA v. ITA = .93
USA v. CAN = .92
USA v. RUS = .73
USA v. FRA = .71
USA v. BLR = .45
USA v. UKR = .44
CAN v. USA = .92
CAN v. ITA = .85
CAN v. FRA = .82
CAN v. RUS = .73
CAN v. UKR = .62
CAN v. BLR = .58
(Calculation for France is off a bit because there is a mistake in the original data which I didn’t notice until I was almost done.

There may be other mistakes in arithmetic in this hurried hand calculation.)
As SkateFiguring mentions, France is the most independent. USA, CAN, and ITA are tight, as are UKR, BLR, and RUS.
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