I recently updated to R version 3.4.2 and noticed that DESeq2 results now returns an error if I relevel the factors.  

library(DESeq2)
cnts <- matrix(rnbinom(n=1000, mu=100, size=1/0.5), ncol=10)
samp <- data.frame( cond=factor(rep(c("a", "b"), each=5)))
dds <- DESeqDataSetFromMatrix(cnts, samp, ~ cond)
dds <- DESeq(dds)

dds$cond
# [1] a a a a a b b b b b
# Levels: a b

## works
res <- results(dds, c("cond", "a", "b"))

dds$cond <- factor(dds$cond, levels = c("b","a"))
dds$cond
# [1] a a a a a b b b b b
#Levels: b a

# Error
results(dds, c("cond", "a", "b"))

# Error in cleanContrast(object, contrast, expanded = isExpanded, listValues = listValues,  : 
  as b is the reference level, was expecting cond_a_vs_b to be present in 'resultsNames(object)'

ps.  Trying to submit this question, why do I get Language "ca" is not one of the supported languages ['en']!

I'm not sure I understand the problem. You can pull out whatever comparison you like using 'contrast' and then specifying exactly what you want in the numerator and denominator of the LFC.

Regarding the error: you should not relevel the factor after running DESeq(), as the software uses the reference level of the variables to look up which coefficients were estimated. You've estimated coefficients under one setting, and then changed the level orders, so the software is confused. You should either perform re-leveling before running DESeq(), or just use 'contrast' afterward to specify explicitly what comparison you want.