<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'Similarly to another Android spyware made in Italy , originally discovered by Lukas Stefanko and later named Skygofree and analyzed in depth by Kaspersky Labs , Exodus also takes advantage of , protectedapps '' , a feature in Huawei phones that allows to configure power-saving options for running applications .' [/INST] [Similarly:O, to:O, another:O, Android:B-System, spyware:O, made:O, in:O, Italy:O, ,:O, originally:O, discovered:O, by:O, Lukas:O, Stefanko:O, and:O, later:O, named:O, Skygofree:B-Malware, and:O, analyzed:O, in:O, depth:O, by:O, Kaspersky:B-Organization, Labs:I-Organization, ,:O, Exodus:B-Malware, also:O, takes:O, advantage:O, of:O, ,:O, protectedapps:O, '':O, ,:O, a:O, feature:O, in:O, Huawei:B-Organization, phones:O, that:O, allows:O, to:O, configure:O, power-saving:O, options:O, for:O, running:O, applications:O, .:O] </s>