What is the total dividends per ordinary share in 2018 and 2019? 
{"Income Statement Data -- Revenues": {"2019": 43215.0, "2018 (1) (2)": 40993.0, "2017 (1) (3)": 36177.0, "2016 (1) (4)": 34254.0, "2015 (1) (5)": 32406.0}, "Income Statement Data -- Operating income": {"2019": 6305.0, "2018 (1) (2)": 5899.0, "2017 (1) (3)": 5191.0, "2016 (1) (4)": 4846.0, "2015 (1) (5)": 4526.0}, "Income Statement Data -- Net income": {"2019": 4846.0, "2018 (1) (2)": 4215.0, "2017 (1) (3)": 3635.0, "2016 (1) (4)": 4350.0, "2015 (1) (5)": 3274.0}, "Income Statement Data -- Net income attributable to Accenture plc": {"2019": 4779.0, "2018 (1) (2)": 4060.0, "2017 (1) (3)": 3445.0, "2016 (1) (4)": 4112.0, "2015 (1) (5)": 3054.0}, "Earnings Per Class A Ordinary Share -- Basic": {"2019": 7.49, "2018 (1) (2)": 6.46, "2017 (1) (3)": 5.56, "2016 (1) (4)": 6.58, "2015 (1) (5)": 4.87}, "Earnings Per Class A Ordinary Share -- Diluted": {"2019": 7.36, "2018 (1) (2)": 6.34, "2017 (1) (3)": 5.44, "2016 (1) (4)": 6.45, "2015 (1) (5)": 4.76}, "Earnings Per Class A Ordinary Share -- Dividends per ordinary share": {"2019": 2.92, "2018 (1) (2)": 2.66, "2017 (1) (3)": 2.42, "2016 (1) (4)": 2.2, "2015 (1) (5)": 2.04}}
total_dividends_2019 = df["Earnings Per Class A Ordinary Share -- Dividends per ordinary share"]["2019"]
total_dividends_2018 = df["Earnings Per Class A Ordinary Share -- Dividends per ordinary share"]["2018 (1) (2)"]
answer = total_dividends_2019 + total_dividends_2018