```uclid
module main {
  type mem_val_t;
  var x : mem_val_t;
  
  init {
    x = 0;
  }

  procedure LoadX() returns (y: mem_val_t) {
    y = x;
  }

  procedure IncX(y: mem_val_t) returns (z: mem_val_t) {
    z = y + 1;
  }

  procedure StoreX(y: mem_val_t) {
    x = y;
  }

  procedure OneRound() {
    var y : mem_val_t;
    var z : mem_val_t;
    y = LoadX();
    z = IncX(y);
    StoreX(z);
  }

  procedure P1() {
    for i in 1 .. 10 {
      OneRound();
    }
  }

  procedure P2() {
    for i in 1 .. 10 {
      OneRound();
    }
  }
  
  procedure P3() {
    for i in 1 .. 10 {
      OneRound();
    }
  }

  control {
    parallel {
      P1();
      P2();
      P3();
    }
  }

  safety property x_equals_2 {
    x == 2
  }
}
```

This code models a parallel program involving three processes P1, P2, and P3, each executing ten increments on a shared variable x. The initialization sets x to 0, and then each increment is represented using three separate actions: `LoadX`, `IncX`, and `StoreX` to simulate the LOAD(x); INC(x); STORE(x) sequence. 

A safety property `x_equals_2` checks if there is any execution that results in `x` becoming precisely 2. Given the nature of the program and the specified increments, this is very unlikely, assuming typical increment operations without additional interference management like locks or atomic operations. Hence, generally, x should reach 30, each process adding 10 to the initial value of 0, considering non-interference among processes. 

The model employs simplifications and might need further adaptations such as the introduction of explicit scheduling or synchronization primitives to capture more realistic concurrent behaviors.