The leverage of a data point $x_i$ in a simple linear regression is given by $h_{ii} = \frac{1}{n} + \frac{(x_i - \bar{x})^2}{\sum (x_j - \bar{x})^2}$. For a dataset with $n = 5$ observations where $x = \{1, 2, 3, 4, 10\}$, calculate the leverage of the point with $x_i = 10$.